US20090049045A1 - Method and system for sorting media items in a playlist on a media device - Google Patents
Method and system for sorting media items in a playlist on a media device Download PDFInfo
- Publication number
- US20090049045A1 US20090049045A1 US11/757,219 US75721907A US2009049045A1 US 20090049045 A1 US20090049045 A1 US 20090049045A1 US 75721907 A US75721907 A US 75721907A US 2009049045 A1 US2009049045 A1 US 2009049045A1
- Authority
- US
- United States
- Prior art keywords
- media items
- replay
- score
- user
- sorting
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Abandoned
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/635—Filtering based on additional data, e.g. user or group profiles
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
- G06F16/63—Querying
- G06F16/638—Presentation of query results
- G06F16/639—Presentation of query results using playlists
Definitions
- the present invention provides a computer-implemented method and system for sorting media items in a playlist on a media device that are ranked by score.
- One embodiment includes providing each of the media items with a respective profile score that is based on user preferences and a respective replay score that affects replay of the corresponding media item; and automatically sorting the media items by the replay scores.
- Another embodiment includes sorting the media items by a sort criteria indicated by a user; sorting the media items by at least one score associated with each of the media items; displaying the playlist; and playing the media items in the playlist according to sort order and automatically skipping media items that have already been played.
- Yet a further embodiment includes changing a user preference associated with a sort criteria selected by the user, wherein each of the media items includes a profile score that is calculated based on user preferences, and a replay score that affects replay of the corresponding media item; recalculating the profile score and the replay score of each of the media items; sorting the media items by the replay scores; and sorting the media items by the sort criteria indicated by a user.
- the system can serve as a media discovery device by accepting media recommendations from a user's peers and ranking those recommendations for playback by replay score, but allows the user to indicate sort criteria other than replay score.
- the media items are then sorted for playback based on a combination of both the replay scores and the indicated sort criteria.
- FIG. 1 illustrates a system incorporating a peer-to-peer (P2P) network for real time media recommendations according to one embodiment.
- P2P peer-to-peer
- FIG. 2 is a flow diagram illustrating the operation of the peer devices of FIG. 1 according to one embodiment.
- FIG. 3 illustrates the system 10 ′ according to a second embodiment of the present invention.
- FIG. 4 illustrates the operation of the system of FIG. 3 according to one embodiment.
- FIG. 5 is a flow diagram illustrating a method for automatically selecting media items to play based on recommendations from peer devices and user preferences according to one embodiment of the present invention.
- FIG. 6 illustrates an exemplary graphical user interface (GUI) for displaying a playlist for the peer devices including both local and recommended media items according to an exemplary embodiment.
- GUI graphical user interface
- FIG. 7 is a flow diagram illustrating a process for scoring and controlling the replay of recommended media items using a no repeat factor according to an exemplary embodiment.
- FIG. 8 is a diagram illustrating the GUI displaying the playlist after the profile score is updated with the replay score.
- FIG. 9 is a flow diagram illustrating a process for visually indicating a replay status of media items on a media device.
- FIG. 10 is a diagram illustrating one embodiment for displaying the profile score and the replay score in a GUI using a graphical representation.
- FIG. 11 is a diagram illustrating another embodiment for displaying the profile score and the replay score using a graphical representation.
- FIG. 12 is a diagram of the GUI displaying a playlist that has been sorted by a category other than score according to one embodiment.
- FIG. 13 is a diagram of the GUI displaying a playlist that has been sorted based on recalculated scores and then by the category User according to one embodiment.
- FIG. 14 is a block diagram of an exemplary embodiment of the peer device.
- the present invention relates to a method and system for sorting media items in a playlist on a media device that are ranked by score.
- the following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements. Various modifications to the embodiments and the generic principles and features described herein will be readily apparent to those skilled in the art. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features described herein.
- the present invention is mainly described in terms of particular systems provided in particular implementations. However, one of ordinary skill in the art will readily recognize that this method and system will operate effectively in other implementations.
- the systems, devices, and networks usable with the present invention can take a number of different forms.
- the present invention will also be described in the context of particular methods having certain steps. However, the method and system operate effectively for other methods having different and/or additional steps not inconsistent with the present invention.
- FIG. 1 illustrates a system 10 incorporating a P2P network for providing real time media recommendations according to one embodiment of the present invention.
- the system 10 includes a number of peer devices 12 - 16 that are capable of presenting or playing the media items and which are optionally connected to a subscription music service 18 via a network 20 , such as, but not limited to, the Internet.
- a network 20 such as, but not limited to, the Internet.
- the present invention may be used with any number of two or more peer devices.
- the peer devices 12 - 16 are preferably portable devices such as, but not limited to, portable audio players, mobile telephones, Personal Digital Assistants (PDAs), or the like having audio playback capabilities.
- the peer devices 12 - 16 may alternatively be stationary devices such as a personal computer or the like.
- the peer devices 12 - 16 include local wireless communication interfaces ( FIG. 14 ) communicatively coupling the peer devices 12 - 16 to form a peer-to-peer (P2P) network.
- the wireless communication interfaces may provide wireless communication according to, for example, one of the suite of IEEE 802.11 standards, the Bluetooth standard, or the like. Because the peer devices 12 - 16 are capable of presenting or playing media items whether or not coupled to the P2P network, the peer devices 12 - 16 may be considered simply as media devices.
- the peer device 12 may include a music player 22 , a recommendation engine 24 , and a music collection 26 .
- the music player 22 may be implemented in software, hardware, or a combination of hardware and software. In general, the music player 22 operates to play songs from the music collection 26 .
- the recommendation engine 24 may be implemented in software, hardware, or a combination of hardware and software. The recommendation engine 24 may alternatively be incorporated into the music player 22 .
- the music collection 26 includes any number of song files stored in one or more digital storage units such as, for example, one or more hard-disc drives, one or more memory cards, internal Random-Access Memory (RAM), one or more associated external digital storage devices, or the like.
- RAM Random-Access Memory
- the recommendation engine 24 operates to provide a recommendation identifying the song to the other peer devices 14 , 16 via the P2P network.
- the recommendation does not include the song.
- the recommendation may be a recommendation file including information identifying the song.
- the recommendation engine 24 operates to programmatically, or automatically, select a next song to be played by the music player 22 based on the recommendations received from the other peer devices 14 , 16 identifying songs recently played by the other peer devices 14 , 16 and user preferences associated with the user of the peer device 12 .
- the peer device 14 includes a music player 28 , a recommendation engine 30 , and a music collection 32
- the peer device 16 includes a music player 34 , a recommendation engine 36 , and a music collection 38 .
- the subscription music service 18 may be a service hosted by a server connected to the network 20 .
- Exemplary subscription based music services that may be modified to operate according to the present invention are Yahoo! Music Unlimited digital music service and RealNetwork's Rhapsody digital music service.
- FIG. 2 is a flow diagram illustrating operation of the peer device 12 according to one embodiment of the present invention.
- the peer devices 12 - 16 cooperate to establish a P2P network (step 200 ).
- the P2P network may be initiated using, for example, an electronic or verbal invitation.
- invitations may be desirable when the user wishes to establish the P2P network with a particular group of other users, such as his or her friends. Note that this may be beneficial when the user desires that the music he or she listens to be influenced only by the songs listened to by, for example, the user's friends.
- invitations may also be desirable when the number of peer devices within a local wireless coverage area of the peer device 12 is large.
- the peer device 12 may maintain a “buddy list” identifying friends of the user of the peer device 12 , where the peer device 12 may automatically establish a P2P network with the peer devices of the users identified by the “buddy list” when the peer devices are within a local wireless coverage area of the peer device 12 .
- the peer device 12 may establish an ad-hoc P2P network with the other peer devices 14 , 16 by detecting the other peer devices 14 , 16 within the local wireless coverage area of the peer device 12 and automatically establishing the P2P network with at least a subset of the detected peer devices 14 , 16 .
- the peer device 12 may compare user profiles of the users of the other peer devices 14 , 16 with a user profile of the user of the peer device 12 and determine whether to permit the other peer devices 14 , 16 to enter the P2P network based on the similarities of the user profiles.
- the peer device 12 plays a song (step 202 ).
- the song may be a song from the music collection 26 selected by the user of the peer device 12 .
- the recommendation engine 24 sends a recommendation identifying the song to the other peer devices 14 , 16 (step 204 ).
- the recommendation may include, but is not limited to, information identifying the song such as a Globally Unique Identifier (GUID) for the song, title of the song, or the like; a Uniform Resource Locator (URL) enabling other peer devices to obtain the song such as a URL enabling download or streaming of the song from the subscription music service 18 or a URL enabling purchase and download of the song from an e-commerce service; a URL enabling download or streaming of a preview of the song from the subscription music service 18 or a similar e-commerce service; metadata describing the song such as ID3 tags including, for example, genre, the title of the song, the artist of the song, the album on which the song can be found, the date of release of the song or album, the lyrics, and the like.
- GUID Globally Unique Identifier
- URL Uniform Resource Locator
- the recommendation may also include a list of recommenders including information identifying each user having previously recommended the song and a timestamp for each recommendation. For example, if the song was originally played at the peer device 14 and then played at the peer device 16 in response to a recommendation from the peer device 14 , the list of recommenders may include information identifying the user of the peer device 14 or the peer device 14 and a timestamp identifying a time at which the song was played or recommended by the peer device 14 , and information identifying the user of the peer device 16 or the peer device 16 and a timestamp identifying a time at which the song was played or recommended by the peer device 16 . Likewise, if the peer device 12 then selects the song for playback, information identifying the user of the peer device 12 or the peer device 12 and a corresponding timestamp may be appended to the list of recommenders.
- the peer device 12 also receives recommendations from the other peer devices 14 , 16 (step 206 ).
- the recommendations from the other peer devices 14 , 16 identify songs played by the other peer devices 14 , 16 .
- the recommendation engine 24 may filter the recommendations from the other peer devices 14 , 16 based on, for example, user, genre, artist, title, album, lyrics, date of release, or the like (step 208 ).
- the recommendation engine 24 then automatically selects a next song to play from the songs identified by the recommendations received from the other peer devices 14 , 16 , optionally songs identified by previously received recommendations, and one or more songs from the music collection 26 based on user preferences (step 210 ).
- the recommendation engine 24 considers only those songs identified by recommendations received since a previous song selection. For example, if the song played in step 202 was a song selected by the recommendation engine 24 based on prior recommendations from the peer devices 14 , 16 , the recommendation engine 24 may only consider the songs identified in new recommendations received after the song was selected for playback in step 202 and may not consider the songs identified in the prior recommendations.
- the recommendation engine 24 may consider all previously received recommendations, where the recommendations may expire after a predetermined or user defined period of time.
- the user preferences used to select the next song to play may include a weight or priority assigned to each of a number of categories such as user, genre, decade of release, and location/availability.
- location identifies whether songs are stored locally in the music collection 26 ; available via the subscription music service 18 ; available for download, and optionally purchase, from an e-commerce service or one of the other peer devices 14 , 16 ; or are not currently available where the user may search for the songs if desired.
- the user preferences may be stored locally at the peer device 12 or obtained from a central server via the network 20 . If the peer device 12 is a portable device, the user preferences may be configured on an associated user system, such as a personal computer, and transferred to the peer device 12 during a synchronization process.
- the user preferences may alternatively be automatically provided or suggested by the recommendation engine 24 based on a play history of the peer device 12 .
- the songs identified by the recommendations from the other peer devices 14 , 16 and the songs from the music collection 26 are scored or ranked based on the user preferences. Then, based on the scores, the recommendation engine 24 selects the next song to play.
- the peer device 12 obtains the selected song (step 212 ). If the selected song is part of the music collection 26 , the peer device 12 obtains the selected song from the music collection 26 . If the selected song is not part of the music collection 26 , the recommendation engine 24 obtains the selected song from the subscription music service 18 , an e-commerce service, or one of the other peer devices 14 , 16 .
- the recommendation for the song may include a URL providing a link to a source from which the song may be obtained, and the peer device 12 may obtain the selected song from the source identified in the recommendation for the song. Once obtained, the selected song is played and the process repeats (steps 202 - 212 ).
- FIG. 3 illustrates the system 10 ′ according to a second embodiment of the present invention.
- the peer devices 12 ′- 16 ′ form a P2P network via the network 20 and a proxy server 40 .
- the peer devices 12 ′- 16 ′ may be any device having a connection to the network 20 and audio playback capabilities.
- the peer devices 12 ′- 16 ′ may be personal computers, laptop computers, mobile telephones, portable audio players, PDAs, or the like having either a wired or wireless connection to the network 20 .
- the peer device 12 ′ includes music player 22 ′, a recommendation engine 24 ′, and a music collection 26 ′.
- the peer device 14 ′ includes a music player 28 ′, a recommendation engine 30 ′, and a music collection 32 ′
- the peer device 16 ′ includes a music player 34 ′, a recommendation engine 36 ′, and a music collection 38 .
- FIG. 4 is a flow diagram illustrating operation of the system 10 ′ as shown in FIG. 3 .
- the peer device 14 ′ plays a song and, in response, provides a song recommendation identifying the song to the peer device 12 ′ via the proxy server 40 (steps 400 - 404 ). While not illustrated for clarity, the peer device 14 ′ also sends the recommendation for the song to the peer device 16 ′ via the proxy server 40 .
- the peer device 16 ′ also plays a song and sends a song recommendation to the peer device 12 ′ via the proxy server 40 (steps 406 - 410 ). Again, while not illustrated for clarity, the peer device 16 ′ also sends the recommendation for the song to the peer device 14 ′ via the proxy server 40 . From this point, the process continues as discussed above.
- FIG. 5 illustrates a process of automatically selecting a song to play from the received recommendations and locally stored songs at the peer device 12 ′ according to one embodiment of the present invention.
- the user preferences for the user of the peer device 12 ′ are obtained (step 500 ).
- the user preferences may include a weight or priority assigned to each of a number of categories such as, but not limited to, user, genre, decade of release, and location/availability.
- the user preferences may be obtained from the user during an initial configuration of the recommendation engine 24 ′.
- the user preferences may be updated by the user as desired.
- the user preferences may alternatively be suggested by the recommendation engine 24 ′ or the proxy server 40 based on a play history of the peer device 12 ′.
- proxy server 40 may ascertain the play history of the peer device 12 ′ by monitoring the recommendations from the peer device 12 ′ as the recommendations pass through the proxy server 40 on their way to the other peer devices 14 ′- 16 ′.
- the user preferences may be stored locally at the peer device 12 ′ or obtained from a central server, such as the proxy server 40 , via the network 20 .
- the recommendation engine 24 ′ of the peer device 12 ′ scores the songs identified by the recommendations based on the user preferences (step 502 ).
- the recommendation engine 24 ′ also scores one or more local songs from the music collection 26 ′ (step 504 ).
- the recommendation engine 24 ′ selects the next song to play based, at least in part, on the scores of the recommended and local songs (step 506 ).
- FIG. 6 illustrates an exemplary graphical user interface (GUI) 42 for displaying a playlist for the peer devices including both local and recommended media items according to an exemplary embodiment.
- the media items displayed in the playlist are songs, and information for each song is displayed in several category fields of the playlist.
- the categories are users, genre, decade, and location/availability, but it may include other types of categories.
- the peer device 12 ′ plays media items from a playlist that includes a mixture of items selected by the user of the device (in this case Hugh) and recommended media items from the user's friends (in this case Gary, Gene, Mike, and Waymen).
- the playlist is continually updated as recommendations are received.
- the playlist shows a mixture of the media items that are on the user's machine (designated by a location Local) and items that have been recommended from friends (Gary, Gene, Mike, and Waymen) that may need to be downloaded, or can be streamed from within the music subscription service 18 .
- both the local and recommended songs are scored based on the category weights, and sorted according to their scores.
- the weights for the categories may be assigned manually by the user via a GUI of the peer device 12 or a website (e.g., subscription music service 18 ), or assigned based on a user profile.
- the peer device 12 ′ always plays the item with the highest score, which in this embodiment is the song at the top of the playlist.
- Media items can be scored a number of different ways utilizing various mechanisms and formulas.
- one equation for scoring the media items as a function of the weighted categories (and subcategories) is:
- Score ( 1/10)*(1/( WD+WG+WL+WU ))*( WD*WDA+WG*WGA+WL*WLA+WU*WUA )*100
- WU is the weight assigned to the user category
- WUA is the weight assigned to the user attribute of the song, which is the user recommending the song (e.g., Hugh, Gary, Gene, et al)
- WG is the weight assigned to the genre category
- WGA is the weight assigned to the genre attribute of the song, which is the genre of the song (e.g., Alternative, Rock, jazz, Punk, etc.)
- WD is the weight assigned to the decade category
- WDA is the weight assigned to the decade attribute of the song, which is the decade in which the song or the album associated with the song was released (e.g., 1960, 1970, etc.)
- WL is the weight assigned to the location/availability category
- WLA is the weight assigned to the location/availability attribute of the song, which is the location or availability of the song (e.g., Local, Subscription, Download, etc.).
- the song “Say Hey” by “The Tubes” is the first item played in the playlist because it has the highest score according to the category weights described above.
- the score is calculated based on the category weights in the user's preferences or profile.
- the score is referred to hereinafter as a profile score.
- the profile score may be based on other factors other than category weights.
- the peer device 12 ′ plays the media item with the highest profile score and the user does not receive any new recommendations with a higher profile score than the media item already played, then the peer device 12 ′ could repeatedly play the same media item, absent a mechanism for altering replay of media items.
- the peer device 12 ′ calculates a respective replay score for the media item that affects or influences replay of the media item.
- the replay score is calculated at least in part as a function of a no repeat factor (NRF).
- NRF no repeat factor
- the NRF is based on a user settable value.
- a weighted no repeat (WNR) category may be assigned a value of 9 out of 10, meaning that the period between repeated playings should be longer rather than shorter.
- the NRF may be based on the total number of media items in the playlist, rather than a fixed WNR.
- FIG. 7 is a flow diagram illustrating a process for scoring and affecting the replay of recommended media items using a no repeat factor according to one embodiment.
- the process assumes that the recommendation engine 24 ′ has already calculated the profile scores of each of the media items in the playlist.
- the process begins in response to one of the media items being played (step 700 ), i.e., the song at the top of the playlist, at which time the recommendation engine 24 ′ calculates a no repeat factor (NRF) for the media item as a function of the weighted no repeat (WNR) value (step 702 ).
- NRF no repeat factor
- NRF MIN ⁇ ( 10 ⁇ WNR , LASTREPEAT_INDEX ) 10 ⁇ WNR
- LastRepeat_Index is preferably based on one or both of a count of the number of media items played since the last play of the media item, or a predetermined time period, e.g., 2 hrs, 5 hrs, 1 day, and so on.
- the NRF can be computed as follows:
- the weighted no repeat (WNR) value may be a global variable that applies equally to each of the user's media items, while the last repeat index and the corresponding no repeat factor (NRF) may be different for each of the media items.
- the last repeat index is incremented/decremented or calculated for each of the media items that have already been played. For example, if the last repeat index is based on the number of songs played since the last play of the media item, then the last repeat index is incremented. If the last repeat index is based on a predetermined time period, then the last repeat index could be calculated to determine how much time has passed since the last play of the media item, e.g., based on the difference between the time the last play occurred and the current time.
- the NRF may be based on the number of media items in the playlist, which is dynamic.
- the WNR can be replaced by the total number of media items in the playlist, which ensures that each item will not be repeated based in part until most or all of the other items have been played.
- the NRF scales naturally to the size of the playlist.
- the recommendation engine 24 ′ calculates a replay score for the media item (as well as for the other previously played media items) based on a function of the category weights and the NRF (step 704 ).
- the replay score may be computed using the equation:
- Replay Score NRF *( 1/10)*(1/( WD+WG+WL+WU ))*( WD*WDA+WG*WGA+WL*WLA+WU*WUA )*100
- the replay score for the song “Say Hey” immediately after it was played (or while it was playing) and after computation of the NRF would be:
- Replay Score (0.011)*( 1/10)*(1/(7+7+5+1))*(7*9+7*8+5*8+1*9)*100
- Replay Score (0.011)*( 1/10)*( 1/20)*(63+56+40+9)*100
- Replay Score (0.011)*( 1/10)*( 1/20)*(168)*100
- the recommendation engine 24 ′ updates the profile scores of media items with the corresponding replay scores, and re-orders the playlist based on the updated profile scores (step 706 ).
- FIG. 8 is a diagram illustrating the GUI 42 displaying the playlist after the profile score for the song “Say Hey” is updated with the replay score. Since the song “Say Hey” has a replay score of 1, and the replay score is used to update the profile score, the profile score becomes 1, and the song “Say Hey” drops to the bottom of the playlist, ensuring that the song will not be repeated before other songs have a chance to play.
- the first aspect of the exemplary embodiment provides a P2P network for real-time media recommendations in which peer devices constantly receive recommendations of media items from other peer devices; intersperses the recommendations with an existing playlist of media items designated by a user; dynamically calculates both a profile score of each of the media items according to the user's preferences, and a replay score for previously played media items that affects replay of the media items; and uses the replay score to update the profile score in order to play the media items back in score order.
- This embodiment ensures that there are no repetitions of played media items until the user has had at least some exposure to other recommended media items in the playlist.
- the replay score ensures that the user will have some exposure to other media items in the playlist before repeating the media items that have already been played, the replay score can sometimes have the effect of hiding the media items that the user most likely will enjoy by placing those items at the end of the playlist.
- the song “Say Hey” had an original profile score of 84 and was the highest in the playlist. This means that “Say Hey” was most likely a song that the user (Hugh) was going to enjoy from the list, given the category weights that the user entered in the system (this assumes that the user has set the weights in the system to yield songs that most closely match his tastes).
- the replay score is calculated, and the song “Say Hey” has a score of 1. The user might forget that this song was once at the top of the list, given its current score.
- a further aspect of the present invention provides a mechanism for visually indicating the replay status of a media item by letting the user see the original profile score of the media item as well as the current replay score, as determined, for example, by the no repeat factor.
- the peer devices 12 - 16 retain the two scores and provide a GUI to clearly indicate both pieces of information to the user. By displaying the replay score, the user is apprised of the replay status of one or all of the media items.
- FIG. 9 is a flow diagram illustrating a process for visually indicating a replay status of media items on a media device.
- the process begins by displaying the media items in a graphical user interface (GUI) of the media device (step 900 ).
- GUI graphical user interface
- the GUI displays the media items in a playlist, which are represented by text information, such as song title.
- the media items could also be displayed with graphical representations, such as icons and/or pictures (e.g., album covers).
- the profile scores of the media items that are calculated based on user preferences are also displayed in the GUI 42 (step 902 ).
- the GUI 42 can also display the replay scores for the media items that affect the replay of the media items (step 904 ).
- the replay scores can be based on corresponding no repeat factors (NRF), which in turn, can be derived from either a predetermined time period and/or a count of media items that have been played since the first media item was last played.
- NRF no repeat factors
- the media items are sorted in the playlist based on the replay scores (step 906 ).
- all media items in the playlist are provided with replay scores whether or not the media item has been played, with the initial values for replay scores being set equal to the profile score of the corresponding media item.
- all the media items have a profile score, but replay scores are only calculated after the corresponding media items have been played.
- the sorting can be controlled by the replay scores for previously played media items that have respective replay scores, and by the profile score for the media items that have not yet been played on the peer device and only have profile scores (step 906 ).
- the sorting of the playlist may occur prior to display of the playlist (steps 902 - 904 ).
- the profile score is a relatively fixed value that is determined through the interaction of the user's profile/preferences with a given media item.
- the replay score is a dynamic value that will normally range between, but is not limited to, a maximum of the profile score and a lesser value determined by the no repeat factor (NRF).
- indicating both the profile score and the replay score for each media item There are several embodiments for indicating both the profile score and the replay score for each media item.
- a representation of the replay score relative to the profile score is displayed in association with the media item.
- FIG. 10 is a diagram illustrating one embodiment for displaying the profile score and the replay score in a GUI using a graphical representation.
- the profile score 1000 and replay score 1002 are shown displayed using bar graphs.
- One bar graph displays the profile score 1000 relative to a maximum profile score 1004 (e.g., max. 100), and a second bar graph displays the replay score 1002 relative to the profile score 1000 .
- the second bar graph is shown having a length that indicates the profile score 1000 and a shaded subsection that indicates the replay score 1002 .
- the second bar graph is also shown to display numeric values for both the profile score 1000 and replay score 1002 , e.g., “1 of 84”.
- FIG. 11 is a diagram illustrating another embodiment for displaying the profile score 1000 and the replay score 1002 using a graphical representation.
- the profile score 1000 and the replay score 1002 are displayed in the single bar graph of FIG. 10 that shows both the profile score 1000 and the replay score 1002 , which makes it suitable for display in the playlist GUI 42 next to each media item.
- the profile score 1000 and the replay score 1002 could be displayed using other graphic representations, such as a pie chart.
- the profile score 1000 and the replay score 1002 may also be displayed with just text information.
- the replay score 1002 may be displayed as a percentage of the profile score, such as 4.5%, for instance.
- the calculation of the NRF is such that the replay score 1002 for a particular media item is allowed to recharge back to the value of the profile score 1000 as media items are played and/or time passes (step 908 ) with a corresponding display in the display of the scores.
- the replay score 1002 for the song has increased accordingly from an initial value of 1 to a current value of 5.
- the exemplary embodiments cover alternative embodiments that include a wider range of category weightings and accompanying profile scores 1000 and presentation factors controlling playback beyond the no repeat factor (NRF), such as for example, a methodology that attempts to force play back of a media item based solely on time, such as at least once per week or alternatively, no more often than once per day.
- NRF no repeat factor
- the exemplary embodiments may be applied to media devices in traditional client/server environments as well.
- One purpose of the P2P networked media recommendation system 10 is to provide a music discovery mechanism for the user. While one purpose of creating a playlist of recommendations is the creation of a musical journey for the user, it is entirely possible that users of the media recommendation system 10 may want to sort on different categories as a means to quickly peruse the recommendations that have been received from their peers. For example, maybe the user Hugh would like to quickly see how many recommendations have been received by a particular friend (Waymen) and the associated scores 1000 and 1002 of such media items.
- FIG. 12 is a diagram of the GUI 42 displaying a playlist that has been sorted by a category other than score according to one embodiment. Sorting in this fashion can pose a potential problem for the media recommendation system 10 since the media recommendation system 10 is designed to play the first media item in the sorted playlist. If the user sorts by some column other than score, then it is possible the peer devices 12 - 16 will begin playing media items that are either (1) not the media items most likely to match the user's tastes or (2) may be media items that have already been played before (thereby eliminating the music discovery aspects of the application).
- embodiments for sorting the playlist are provided that maintain the system's purpose as a media discovery device by accepting media recommendations from a user's peers and by ranking those recommendations for playback by score, but also allows the user to indicate a sort criteria other than score.
- the media items are then sorted for playback based on a combination of both the score and the indicated sort criteria.
- the peer devices 12 - 16 permit the sorting of the playlist by different category columns, but only subordinate to a sort by score.
- each of the media items include a profile score 1000 and a replay score 1002 .
- the peer devices 12 - 16 automatically sort the media items in the playlist by the replay scores 1002 .
- the replay score 1002 may be set equal to the profile score 1000 for the media items that have yet to be played.
- the peer devices 12 - 16 sort the media items by a sort criteria indicated by a user. For example, if the user wants to sort on the User column, then the peer devices 12 - 16 perform a double sort where the media items in the playlist are first sorted by the profile and replay scores and then by User.
- the playlist is displayed and the media items in the playlist are played according to the sort order. The steps of sorting and displaying the playlist are not necessarily order dependent.
- the peer devices 12 - 16 permit the user to sort the playlist by category columns other than score first and then sort by score second.
- the peer devices 12 - 16 first sort the media items by a sort criteria indicated by a user. For example, the user may select a particular category to sort on by clicking one of the category columns in the playlist. Thereafter, the peer devices 12 - 16 sort the media items by the score associated with each of the media items, e.g., the profile and replay scores 1000 and 1002 , and displays the sorted playlist.
- the media items in the playlist are played according to sort order, but the media items that have already been played (as indicated by a corresponding replay score 1002 ), are automatically skipped.
- the playlist would look similar to that of FIG. 12 , which shows an example playlist that has been sorted by User first, and then sorted by score second.
- songs are played by moving down the playlist, songs that have already been played are automatically skipped.
- the media item being played is not necessarily the first item in the playlist, as in the case where the first media item is a replay score.
- the peer devices 12 - 16 permit the user to sort the playlist by category columns other than score, but adjust the weight of the selected category so that the selected category has a greater weight than the other categories listed by the user.
- a user preference associated with the sort criteria is changed.
- user preferences used to select the next song to play may include a weight assigned to each of a number of categories, such as user, genre, decade of release, and location/availability. The category weights are then used to score or rank the media items from the music collection 26 .
- the User weight (WU) may be increased automatically from its initial value of 1 (see FIG. 8 ) to near a maximum value, such as 9 for instance, thereby making it a dominant force in the user's preferences and calculation of the profile score 1000 .
- the profile score 1000 and any existing replay score 1002 are recalculated.
- the media items in the playlist are then first sorted by the recalculated replay scores 1002 , as described above, and then sorted by the sort criteria selected by the user, e.g., by the category User.
- the sorted playlist is displayed and the media items are played in the playlist according to sort order.
- FIG. 13 is a diagram of the GUI 42 displaying a playlist that has been sorted based on recalculated scores and then by the User category according to one embodiment. Because of the change in the weight assigned to the user category, the media items now have slightly different profile and replay scores 1000 and 1002 .
- FIG. 14 is a block diagram of an exemplary embodiment of the peer device 12 ′ of FIG. 3 .
- the peer device 12 ′ includes a control system 154 having associated memory 156 .
- the music player 22 ′ and the recommendation engine 24 ′ are at least partially implemented in software and stored in the memory 156 .
- the peer device 12 ′ also includes a storage unit 158 operating to store the music collection 26 ′ ( FIG. 3 ).
- the storage unit 158 may be any number of digital storage devices such as, for example, one or more hard-disc drives, one or more memory cards, RAM, one or more external digital storage devices, or the like.
- the music collection 26 ′ may alternatively be stored in the memory 156 .
- the peer device 12 ′ also includes a communication interface 160 .
- the communication interface 160 includes a network interface communicatively coupling the peer device 12 ′ to the network 20 ( FIG. 3 ).
- the peer device 12 ′ also includes a user interface 162 , which may include components such as a display, speakers, a user input device, and the like.
- FIG. 1 illustrates the peer devices 12 - 16 forming the P2P network via local wireless communication
- FIG. 3 illustrates the peer devices 12 ′- 16 ′ forming the P2P network via the network 20
- the present invention is not limited to either a local wireless P2P network or a WAN P2P network in the alternative.
- a particular peer device such as the peer device 12
- the peer device 12 may receive recommendations from both the peer devices 14 , 16 ( FIG. 1 ) via local wireless communication and from the peer devices 14 ′- 16 ′ ( FIG. 3 ) via the network 20 .
- a method and system for sorting media items in a playlist on a media device that are ranked by score has been disclosed.
- the present invention has been described in accordance with the embodiments shown, and one of ordinary skill in the art will readily recognize that there could be variations to the embodiments, and any variations would be within the spirit and scope of the present invention.
- the present invention can be implemented using hardware, software, a computer readable medium containing program instructions, or a combination thereof.
- Software written according to the present invention is to be either stored in some form of computer-readable medium such as memory or CD-ROM, or is to be transmitted over a network, and is to be executed by a processor. Consequently, a computer-readable medium is intended to include a computer readable signal, which may be, for example, transmitted over a network. Accordingly, many modifications may be made by one of ordinary skill in the art without departing from the spirit and scope of the appended claims.
Abstract
Description
- In recent years, there has been an enormous increase in the amount of digital media, such as music, available online. Services such as Apple's iTunes enable users to legally purchase and download music. Other services such as Yahoo! Music Unlimited and RealNetwork's Rhapsody provide access to millions of songs for a monthly subscription fee. As a result, music has become much more accessible to listeners worldwide. However, the increased accessibility of music has only heightened a long-standing problem for the music industry, which is namely the issue of linking audiophiles with new music that matches their listening preferences.
- Many companies, technologies, and approaches have emerged to address this issue of music recommendation. Some companies have taken an analytical approach. They review various attributes of a song, such as melody, harmony, lyrics, orchestration, vocal character, and the like, and assign a rating to each attribute. The ratings for each attribute are then assembled to create a holistic classification for the song that is then used by a recommendation engine. The recommendation engine typically requires that the user first identify a song that he or she likes. The recommendation engine then suggests other songs with similar attributions. Companies using this type of approach include Pandora, SoundFlavor, MusicIP, and MongoMusic (purchased by Microsoft in 2000).
- Other companies take a communal approach. They make recommendations based on the collective wisdom of a group of users with similar musical tastes. These solutions first profile the listening habits of a particular user and then search similar profiles of other users to determine recommendations. Profiles are generally created in a variety of ways such as looking at a user's complete collection, the playcounts of their songs, their favorite playlists, and the like. Companies using this technology include Last.fm, Music Strands, WebJay, Mercora, betterPropaganda, Loomia, eMusic, musicmatch, genielab, upto11, Napster, and iTunes with its celebrity playlists.
- The problem with these traditional recommendation systems is that they fail to consider peer influences. For example, the music that a particular teenager listens to may be highly influenced by the music listened to by a group of the teenager's peers, such as his or her friends. As such, there is a need for a music recommendation system and method that recommends music to a user based on the listening habits of a peer group.
- The present invention provides a computer-implemented method and system for sorting media items in a playlist on a media device that are ranked by score. One embodiment includes providing each of the media items with a respective profile score that is based on user preferences and a respective replay score that affects replay of the corresponding media item; and automatically sorting the media items by the replay scores. Another embodiment includes sorting the media items by a sort criteria indicated by a user; sorting the media items by at least one score associated with each of the media items; displaying the playlist; and playing the media items in the playlist according to sort order and automatically skipping media items that have already been played. Yet a further embodiment includes changing a user preference associated with a sort criteria selected by the user, wherein each of the media items includes a profile score that is calculated based on user preferences, and a replay score that affects replay of the corresponding media item; recalculating the profile score and the replay score of each of the media items; sorting the media items by the replay scores; and sorting the media items by the sort criteria indicated by a user.
- According to the method and system disclosed herein, the system can serve as a media discovery device by accepting media recommendations from a user's peers and ranking those recommendations for playback by replay score, but allows the user to indicate sort criteria other than replay score. The media items are then sorted for playback based on a combination of both the replay scores and the indicated sort criteria.
-
FIG. 1 illustrates a system incorporating a peer-to-peer (P2P) network for real time media recommendations according to one embodiment. -
FIG. 2 is a flow diagram illustrating the operation of the peer devices ofFIG. 1 according to one embodiment. -
FIG. 3 illustrates the system 10′ according to a second embodiment of the present invention. -
FIG. 4 illustrates the operation of the system ofFIG. 3 according to one embodiment. -
FIG. 5 is a flow diagram illustrating a method for automatically selecting media items to play based on recommendations from peer devices and user preferences according to one embodiment of the present invention. -
FIG. 6 illustrates an exemplary graphical user interface (GUI) for displaying a playlist for the peer devices including both local and recommended media items according to an exemplary embodiment. -
FIG. 7 is a flow diagram illustrating a process for scoring and controlling the replay of recommended media items using a no repeat factor according to an exemplary embodiment. -
FIG. 8 is a diagram illustrating the GUI displaying the playlist after the profile score is updated with the replay score. -
FIG. 9 is a flow diagram illustrating a process for visually indicating a replay status of media items on a media device. -
FIG. 10 is a diagram illustrating one embodiment for displaying the profile score and the replay score in a GUI using a graphical representation. -
FIG. 11 is a diagram illustrating another embodiment for displaying the profile score and the replay score using a graphical representation. -
FIG. 12 is a diagram of the GUI displaying a playlist that has been sorted by a category other than score according to one embodiment. -
FIG. 13 is a diagram of the GUI displaying a playlist that has been sorted based on recalculated scores and then by the category User according to one embodiment. -
FIG. 14 is a block diagram of an exemplary embodiment of the peer device. - The present invention relates to a method and system for sorting media items in a playlist on a media device that are ranked by score. The following description is presented to enable one of ordinary skill in the art to make and use the invention and is provided in the context of a patent application and its requirements. Various modifications to the embodiments and the generic principles and features described herein will be readily apparent to those skilled in the art. Thus, the present invention is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features described herein.
- The present invention is mainly described in terms of particular systems provided in particular implementations. However, one of ordinary skill in the art will readily recognize that this method and system will operate effectively in other implementations. For example, the systems, devices, and networks usable with the present invention can take a number of different forms. The present invention will also be described in the context of particular methods having certain steps. However, the method and system operate effectively for other methods having different and/or additional steps not inconsistent with the present invention.
-
FIG. 1 illustrates a system 10 incorporating a P2P network for providing real time media recommendations according to one embodiment of the present invention. Note that while the exemplary embodiments focus on song recommendations for clarity and ease of discussion, the present invention is equally applicable to providing recommendations for other types of media items, such as video presentations and slideshows. Exemplary video presentations are movies, television programs, and the like. In general, the system 10 includes a number of peer devices 12-16 that are capable of presenting or playing the media items and which are optionally connected to asubscription music service 18 via anetwork 20, such as, but not limited to, the Internet. Note that while three peer devices 12-16 are illustrated, the present invention may be used with any number of two or more peer devices. - In this embodiment, the peer devices 12-16 are preferably portable devices such as, but not limited to, portable audio players, mobile telephones, Personal Digital Assistants (PDAs), or the like having audio playback capabilities. However, the peer devices 12-16 may alternatively be stationary devices such as a personal computer or the like.
- The peer devices 12-16 include local wireless communication interfaces (
FIG. 14 ) communicatively coupling the peer devices 12-16 to form a peer-to-peer (P2P) network. The wireless communication interfaces may provide wireless communication according to, for example, one of the suite of IEEE 802.11 standards, the Bluetooth standard, or the like. Because the peer devices 12-16 are capable of presenting or playing media items whether or not coupled to the P2P network, the peer devices 12-16 may be considered simply as media devices. - The
peer device 12 may include amusic player 22, arecommendation engine 24, and a music collection 26. Themusic player 22 may be implemented in software, hardware, or a combination of hardware and software. In general, themusic player 22 operates to play songs from the music collection 26. Therecommendation engine 24 may be implemented in software, hardware, or a combination of hardware and software. Therecommendation engine 24 may alternatively be incorporated into themusic player 22. The music collection 26 includes any number of song files stored in one or more digital storage units such as, for example, one or more hard-disc drives, one or more memory cards, internal Random-Access Memory (RAM), one or more associated external digital storage devices, or the like. - In operation, each time a song is played by the
music player 22, therecommendation engine 24 operates to provide a recommendation identifying the song to theother peer devices recommendation engine 24 operates to programmatically, or automatically, select a next song to be played by themusic player 22 based on the recommendations received from theother peer devices other peer devices peer device 12. - Like the
peer device 12, thepeer device 14 includes amusic player 28, arecommendation engine 30, and amusic collection 32, and thepeer device 16 includes amusic player 34, a recommendation engine 36, and amusic collection 38. - The
subscription music service 18 may be a service hosted by a server connected to thenetwork 20. Exemplary subscription based music services that may be modified to operate according to the present invention are Yahoo! Music Unlimited digital music service and RealNetwork's Rhapsody digital music service. -
FIG. 2 is a flow diagram illustrating operation of thepeer device 12 according to one embodiment of the present invention. However, the following discussion is equally applicable to theother peer devices peer device 12 is large. As another example, thepeer device 12 may maintain a “buddy list” identifying friends of the user of thepeer device 12, where thepeer device 12 may automatically establish a P2P network with the peer devices of the users identified by the “buddy list” when the peer devices are within a local wireless coverage area of thepeer device 12. - Alternatively, the
peer device 12 may establish an ad-hoc P2P network with theother peer devices other peer devices peer device 12 and automatically establishing the P2P network with at least a subset of the detectedpeer devices peer device 12 may compare user profiles of the users of theother peer devices peer device 12 and determine whether to permit theother peer devices - At some point after the P2P network is established, the
peer device 12 plays a song (step 202). Initially, before any recommendations have been received from theother peer devices peer device 12. Prior to, during, or after playback of the song, therecommendation engine 24 sends a recommendation identifying the song to theother peer devices 14,16 (step 204). The recommendation may include, but is not limited to, information identifying the song such as a Globally Unique Identifier (GUID) for the song, title of the song, or the like; a Uniform Resource Locator (URL) enabling other peer devices to obtain the song such as a URL enabling download or streaming of the song from thesubscription music service 18 or a URL enabling purchase and download of the song from an e-commerce service; a URL enabling download or streaming of a preview of the song from thesubscription music service 18 or a similar e-commerce service; metadata describing the song such as ID3 tags including, for example, genre, the title of the song, the artist of the song, the album on which the song can be found, the date of release of the song or album, the lyrics, and the like. - The recommendation may also include a list of recommenders including information identifying each user having previously recommended the song and a timestamp for each recommendation. For example, if the song was originally played at the
peer device 14 and then played at thepeer device 16 in response to a recommendation from thepeer device 14, the list of recommenders may include information identifying the user of thepeer device 14 or thepeer device 14 and a timestamp identifying a time at which the song was played or recommended by thepeer device 14, and information identifying the user of thepeer device 16 or thepeer device 16 and a timestamp identifying a time at which the song was played or recommended by thepeer device 16. Likewise, if thepeer device 12 then selects the song for playback, information identifying the user of thepeer device 12 or thepeer device 12 and a corresponding timestamp may be appended to the list of recommenders. - The
peer device 12, and more specifically therecommendation engine 24, also receives recommendations from theother peer devices 14, 16 (step 206). The recommendations from theother peer devices other peer devices recommendation engine 24 may filter the recommendations from theother peer devices - The
recommendation engine 24 then automatically selects a next song to play from the songs identified by the recommendations received from theother peer devices recommendation engine 24 considers only those songs identified by recommendations received since a previous song selection. For example, if the song played in step 202 was a song selected by therecommendation engine 24 based on prior recommendations from thepeer devices recommendation engine 24 may only consider the songs identified in new recommendations received after the song was selected for playback in step 202 and may not consider the songs identified in the prior recommendations. This may be beneficial if the complexity of therecommendation engine 24 is desired to be minimal such as when thepeer device 12 is a mobile terminal or the like having limited processing and memory capabilities. In another embodiment, therecommendation engine 24 may consider all previously received recommendations, where the recommendations may expire after a predetermined or user defined period of time. - As discussed below, the user preferences used to select the next song to play may include a weight or priority assigned to each of a number of categories such as user, genre, decade of release, and location/availability. Generally, location identifies whether songs are stored locally in the music collection 26; available via the
subscription music service 18; available for download, and optionally purchase, from an e-commerce service or one of theother peer devices peer device 12 or obtained from a central server via thenetwork 20. If thepeer device 12 is a portable device, the user preferences may be configured on an associated user system, such as a personal computer, and transferred to thepeer device 12 during a synchronization process. The user preferences may alternatively be automatically provided or suggested by therecommendation engine 24 based on a play history of thepeer device 12. In the preferred embodiment discussed below, the songs identified by the recommendations from theother peer devices recommendation engine 24 selects the next song to play. - Once the next song to play is selected, the
peer device 12 obtains the selected song (step 212). If the selected song is part of the music collection 26, thepeer device 12 obtains the selected song from the music collection 26. If the selected song is not part of the music collection 26, therecommendation engine 24 obtains the selected song from thesubscription music service 18, an e-commerce service, or one of theother peer devices peer device 12 may obtain the selected song from the source identified in the recommendation for the song. Once obtained, the selected song is played and the process repeats (steps 202-212). -
FIG. 3 illustrates the system 10′ according to a second embodiment of the present invention. In this embodiment, thepeer devices 12′-16′ form a P2P network via thenetwork 20 and aproxy server 40. Thepeer devices 12′-16′ may be any device having a connection to thenetwork 20 and audio playback capabilities. For example, thepeer devices 12′-16′ may be personal computers, laptop computers, mobile telephones, portable audio players, PDAs, or the like having either a wired or wireless connection to thenetwork 20. As discussed above with respect to thepeer device 12, thepeer device 12′ includesmusic player 22′, arecommendation engine 24′, and a music collection 26′. Likewise, thepeer device 14′ includes amusic player 28′, arecommendation engine 30′, and amusic collection 32′, and thepeer device 16′ includes amusic player 34′, a recommendation engine 36′, and amusic collection 38. -
FIG. 4 is a flow diagram illustrating operation of the system 10′ as shown inFIG. 3 . In this example, once the P2P network is established, thepeer device 14′ plays a song and, in response, provides a song recommendation identifying the song to thepeer device 12′ via the proxy server 40 (steps 400-404). While not illustrated for clarity, thepeer device 14′ also sends the recommendation for the song to thepeer device 16′ via theproxy server 40. Thepeer device 16′ also plays a song and sends a song recommendation to thepeer device 12′ via the proxy server 40 (steps 406-410). Again, while not illustrated for clarity, thepeer device 16′ also sends the recommendation for the song to thepeer device 14′ via theproxy server 40. From this point, the process continues as discussed above. -
FIG. 5 illustrates a process of automatically selecting a song to play from the received recommendations and locally stored songs at thepeer device 12′ according to one embodiment of the present invention. However, the following discussion is equally applicable to the peer devices 12-16 ofFIG. 1 , as well as theother peer devices 14′-16′ ofFIG. 3 . First, the user preferences for the user of thepeer device 12′ are obtained (step 500). The user preferences may include a weight or priority assigned to each of a number of categories such as, but not limited to, user, genre, decade of release, and location/availability. The user preferences may be obtained from the user during an initial configuration of therecommendation engine 24′. In addition, the user preferences may be updated by the user as desired. The user preferences may alternatively be suggested by therecommendation engine 24′ or theproxy server 40 based on a play history of thepeer device 12′. Note thatproxy server 40 may ascertain the play history of thepeer device 12′ by monitoring the recommendations from thepeer device 12′ as the recommendations pass through theproxy server 40 on their way to theother peer devices 14′-16′. The user preferences may be stored locally at thepeer device 12′ or obtained from a central server, such as theproxy server 40, via thenetwork 20. - Once recommendations are received from the
other peer devices 14′-16′, therecommendation engine 24′ of thepeer device 12′ scores the songs identified by the recommendations based on the user preferences (step 502). Therecommendation engine 24′ also scores one or more local songs from the music collection 26′ (step 504). Therecommendation engine 24′ then selects the next song to play based, at least in part, on the scores of the recommended and local songs (step 506). -
FIG. 6 illustrates an exemplary graphical user interface (GUI) 42 for displaying a playlist for the peer devices including both local and recommended media items according to an exemplary embodiment. In this example, the media items displayed in the playlist are songs, and information for each song is displayed in several category fields of the playlist. In this embodiment, the categories are users, genre, decade, and location/availability, but it may include other types of categories. In this example, thepeer device 12′ plays media items from a playlist that includes a mixture of items selected by the user of the device (in this case Hugh) and recommended media items from the user's friends (in this case Gary, Gene, Mike, and Waymen). The playlist is continually updated as recommendations are received. Note that the playlist shows a mixture of the media items that are on the user's machine (designated by a location Local) and items that have been recommended from friends (Gary, Gene, Mike, and Waymen) that may need to be downloaded, or can be streamed from within themusic subscription service 18. - In this example, both the local and recommended songs are scored based on the category weights, and sorted according to their scores. The weights for the categories may be assigned manually by the user via a GUI of the
peer device 12 or a website (e.g., subscription music service 18), or assigned based on a user profile. In an exemplary embodiment, thepeer device 12′ always plays the item with the highest score, which in this embodiment is the song at the top of the playlist. - Media items can be scored a number of different ways utilizing various mechanisms and formulas. According to an exemplary embodiment, one equation for scoring the media items as a function of the weighted categories (and subcategories) is:
-
Score=( 1/10)*(1/(WD+WG+WL+WU))*(WD*WDA+WG*WGA+WL*WLA+WU*WUA)*100 - where WU is the weight assigned to the user category; WUA is the weight assigned to the user attribute of the song, which is the user recommending the song (e.g., Hugh, Gary, Gene, et al); WG is the weight assigned to the genre category; WGA is the weight assigned to the genre attribute of the song, which is the genre of the song (e.g., Alternative, Rock, Jazz, Punk, etc.); WD is the weight assigned to the decade category; WDA is the weight assigned to the decade attribute of the song, which is the decade in which the song or the album associated with the song was released (e.g., 1960, 1970, etc.); WL is the weight assigned to the location/availability category; and WLA is the weight assigned to the location/availability attribute of the song, which is the location or availability of the song (e.g., Local, Subscription, Download, etc.).
- As an example, assume that the following weights have been assigned to the categories as follows:
-
User Category 1 Genre Category 7 Decade Category 7 Location/Availability Category 5
Further assume that attributes for the categories have been assigned weights as follows: -
User Genre Decade Location/ Availability Hugh 9 Alternative 8 1950s 2 Local 8 Gary 5 Classic Rock 5 1960s 4 Subscription Network 2 Gene 5 Arena Rock 5 1970s 7 Buy/ Download 1 Jazz 5 1980s 9 Find 1 New Wave 2 1990s 5 Punk 4 2000s 5 Dance 2 Country 2
Inserting these weights into the score equation for the song “Say Hey” inFIG. 6 yields: -
Score=( 1/10)*(1/(7+7+5+1))*(7*9+7*8+5*8+1*9)*100 -
Score=( 1/10)*( 1/20)*(63+56+40+9)*100 -
Score=( 1/10)*( 1/20)*(168)*100 -
Score=84 - In the playlist shown in
FIG. 6 , note that the song “Say Hey” by “The Tubes” is the first item played in the playlist because it has the highest score according to the category weights described above. In one embodiment the score is calculated based on the category weights in the user's preferences or profile. The score is referred to hereinafter as a profile score. However, those with ordinary skill in the art will readily recognize that the profile score may be based on other factors other than category weights. - Scoring and Affecting the Replay of Recommended Media Items Using a No Repeat Factor
- It would be undesirable to most users if any particular media item is repeatedly replayed within a short time interval. However, if the
peer device 12′ plays the media item with the highest profile score and the user does not receive any new recommendations with a higher profile score than the media item already played, then thepeer device 12′ could repeatedly play the same media item, absent a mechanism for altering replay of media items. - According to a further aspect of the invention, in response to each one of the media items being played, the
peer device 12′ calculates a respective replay score for the media item that affects or influences replay of the media item. In one embodiment, the replay score is calculated at least in part as a function of a no repeat factor (NRF). The replay scores of the media items can then be used to sort the media items for playing. - In one embodiment, the NRF is based on a user settable value. For example, a weighted no repeat (WNR) category may be assigned a value of 9 out of 10, meaning that the period between repeated playings should be longer rather than shorter. In another embodiment, the NRF may be based on the total number of media items in the playlist, rather than a fixed WNR.
-
FIG. 7 is a flow diagram illustrating a process for scoring and affecting the replay of recommended media items using a no repeat factor according to one embodiment. The process assumes that therecommendation engine 24′ has already calculated the profile scores of each of the media items in the playlist. The process begins in response to one of the media items being played (step 700), i.e., the song at the top of the playlist, at which time therecommendation engine 24′ calculates a no repeat factor (NRF) for the media item as a function of the weighted no repeat (WNR) value (step 702). - In one embodiment the NRF may be calculated using the formula:
-
- where the LastRepeat_Index is preferably based on one or both of a count of the number of media items played since the last play of the media item, or a predetermined time period, e.g., 2 hrs, 5 hrs, 1 day, and so on.
- For example, referring to the playlist shown in
FIG. 6 , after “Say Hey” has been played, the number of songs since this song was last played is now 1. Assuming the weighted no repeat value (WNR) is 9, the NRF can be computed as follows: -
No Repeat Factor=Min[10*WNR, LastRepeat_Index]/(10*WNR) -
No Repeat Factor=Min [10*9,1]/(10*9) -
No Repeat Factor=1/(10*9) -
No Repeat Factor=0.0111 - In this embodiment, it should be understood that the weighted no repeat (WNR) value may be a global variable that applies equally to each of the user's media items, while the last repeat index and the corresponding no repeat factor (NRF) may be different for each of the media items. Each time a media item is played, the last repeat index is incremented/decremented or calculated for each of the media items that have already been played. For example, if the last repeat index is based on the number of songs played since the last play of the media item, then the last repeat index is incremented. If the last repeat index is based on a predetermined time period, then the last repeat index could be calculated to determine how much time has passed since the last play of the media item, e.g., based on the difference between the time the last play occurred and the current time.
- As stated above, in one embodiment the NRF may be based on the number of media items in the playlist, which is dynamic. In this embodiment, the WNR can be replaced by the total number of media items in the playlist, which ensures that each item will not be repeated based in part until most or all of the other items have been played. Thus, the NRF scales naturally to the size of the playlist.
- Next, the
recommendation engine 24′ calculates a replay score for the media item (as well as for the other previously played media items) based on a function of the category weights and the NRF (step 704). In one embodiment, the replay score may be computed using the equation: -
Replay Score=NRF*( 1/10)*(1/(WD+WG+WL+WU))*(WD*WDA+WG*WGA+WL*WLA+WU*WUA)*100 - Continuing with the example playlist shown in
FIG. 6 , the replay score for the song “Say Hey” immediately after it was played (or while it was playing) and after computation of the NRF would be: -
Replay Score=(0.011)*( 1/10)*(1/(7+7+5+1))*(7*9+7*8+5*8+1*9)*100 -
Replay Score=(0.011)*( 1/10)*( 1/20)*(63+56+40+9)*100 -
Replay Score=(0.011)*( 1/10)*( 1/20)*(168)*100 -
Replay Score=0.9 -
Replay Score ˜=1 - Referring again to
FIG. 7 , in one embodiment, therecommendation engine 24′ updates the profile scores of media items with the corresponding replay scores, and re-orders the playlist based on the updated profile scores (step 706). -
FIG. 8 is a diagram illustrating theGUI 42 displaying the playlist after the profile score for the song “Say Hey” is updated with the replay score. Since the song “Say Hey” has a replay score of 1, and the replay score is used to update the profile score, the profile score becomes 1, and the song “Say Hey” drops to the bottom of the playlist, ensuring that the song will not be repeated before other songs have a chance to play. - The first aspect of the exemplary embodiment provides a P2P network for real-time media recommendations in which peer devices constantly receive recommendations of media items from other peer devices; intersperses the recommendations with an existing playlist of media items designated by a user; dynamically calculates both a profile score of each of the media items according to the user's preferences, and a replay score for previously played media items that affects replay of the media items; and uses the replay score to update the profile score in order to play the media items back in score order. This embodiment ensures that there are no repetitions of played media items until the user has had at least some exposure to other recommended media items in the playlist.
- Visually Indicating a Replay Status of a Media Item
- While the replay score ensures that the user will have some exposure to other media items in the playlist before repeating the media items that have already been played, the replay score can sometimes have the effect of hiding the media items that the user most likely will enjoy by placing those items at the end of the playlist. Continuing with the example given above, for instance, the song “Say Hey” had an original profile score of 84 and was the highest in the playlist. This means that “Say Hey” was most likely a song that the user (Hugh) was going to enjoy from the list, given the category weights that the user entered in the system (this assumes that the user has set the weights in the system to yield songs that most closely match his tastes). Once the song has been played, though, the replay score is calculated, and the song “Say Hey” has a score of 1. The user might forget that this song was once at the top of the list, given its current score.
- Accordingly, a further aspect of the present invention provides a mechanism for visually indicating the replay status of a media item by letting the user see the original profile score of the media item as well as the current replay score, as determined, for example, by the no repeat factor. In this embodiment, the peer devices 12-16 retain the two scores and provide a GUI to clearly indicate both pieces of information to the user. By displaying the replay score, the user is apprised of the replay status of one or all of the media items.
-
FIG. 9 is a flow diagram illustrating a process for visually indicating a replay status of media items on a media device. The process begins by displaying the media items in a graphical user interface (GUI) of the media device (step 900). As shown inFIGS. 6 and 8 , in the exemplary embodiment, the GUI displays the media items in a playlist, which are represented by text information, such as song title. However, the media items could also be displayed with graphical representations, such as icons and/or pictures (e.g., album covers). - As also described above, the profile scores of the media items that are calculated based on user preferences are also displayed in the GUI 42 (step 902). However, according to this embodiment, the
GUI 42 can also display the replay scores for the media items that affect the replay of the media items (step 904). As described above, the replay scores can be based on corresponding no repeat factors (NRF), which in turn, can be derived from either a predetermined time period and/or a count of media items that have been played since the first media item was last played. - The media items are sorted in the playlist based on the replay scores (step 906). In one embodiment, all media items in the playlist are provided with replay scores whether or not the media item has been played, with the initial values for replay scores being set equal to the profile score of the corresponding media item. In another embodiment, all the media items have a profile score, but replay scores are only calculated after the corresponding media items have been played. In this case, the sorting can be controlled by the replay scores for previously played media items that have respective replay scores, and by the profile score for the media items that have not yet been played on the peer device and only have profile scores (step 906). As a practical matter, during operation of the peer device, the sorting of the playlist (step 906) may occur prior to display of the playlist (steps 902-904).
- Based on the above, it should become apparent that the profile score is a relatively fixed value that is determined through the interaction of the user's profile/preferences with a given media item. However, the replay score is a dynamic value that will normally range between, but is not limited to, a maximum of the profile score and a lesser value determined by the no repeat factor (NRF).
- There are several embodiments for indicating both the profile score and the replay score for each media item. In one embodiment, a representation of the replay score relative to the profile score is displayed in association with the media item.
-
FIG. 10 is a diagram illustrating one embodiment for displaying the profile score and the replay score in a GUI using a graphical representation. In this embodiment, theprofile score 1000 andreplay score 1002 are shown displayed using bar graphs. One bar graph displays theprofile score 1000 relative to a maximum profile score 1004 (e.g., max. 100), and a second bar graph displays thereplay score 1002 relative to theprofile score 1000. In this example, the second bar graph is shown having a length that indicates theprofile score 1000 and a shaded subsection that indicates thereplay score 1002. In addition, the second bar graph is also shown to display numeric values for both theprofile score 1000 andreplay score 1002, e.g., “1 of 84”. -
FIG. 11 is a diagram illustrating another embodiment for displaying theprofile score 1000 and thereplay score 1002 using a graphical representation. In this embodiment, theprofile score 1000 and thereplay score 1002 are displayed in the single bar graph ofFIG. 10 that shows both theprofile score 1000 and thereplay score 1002, which makes it suitable for display in theplaylist GUI 42 next to each media item. - Although bar graphs have been described for graphically illustrating the
profile score 1000 and thereplay score 1002, theprofile score 1000 and thereplay score 1002 could be displayed using other graphic representations, such as a pie chart. Theprofile score 1000 and thereplay score 1002 may also be displayed with just text information. For example, thereplay score 1002 may be displayed as a percentage of the profile score, such as 4.5%, for instance. - Referring again to
FIG. 9 , the calculation of the NRF is such that thereplay score 1002 for a particular media item is allowed to recharge back to the value of theprofile score 1000 as media items are played and/or time passes (step 908) with a corresponding display in the display of the scores. For example, as shown inFIG. 11 , four songs have played since the first playing of the song “Say Hey”, and thereplay score 1002 for the song has increased accordingly from an initial value of 1 to a current value of 5. - Referring again to
FIG. 9 , once thereplay score 1002 of the media item reaches the value of theprofile score 1000, only theprofile score 1000 for the media item is shown in the GUI (step 910). - Given the above description of the profile and
replay scores 1002, it should be apparent that the exemplary embodiments cover alternative embodiments that include a wider range of category weightings and accompanyingprofile scores 1000 and presentation factors controlling playback beyond the no repeat factor (NRF), such as for example, a methodology that attempts to force play back of a media item based solely on time, such as at least once per week or alternatively, no more often than once per day. Also, although described in terms of a P2P media recommendation environment, the exemplary embodiments may be applied to media devices in traditional client/server environments as well. - Sorting Recommended Media Items in a Scored Playlist
- One purpose of the P2P networked media recommendation system 10 is to provide a music discovery mechanism for the user. While one purpose of creating a playlist of recommendations is the creation of a musical journey for the user, it is entirely possible that users of the media recommendation system 10 may want to sort on different categories as a means to quickly peruse the recommendations that have been received from their peers. For example, maybe the user Hugh would like to quickly see how many recommendations have been received by a particular friend (Waymen) and the associated
scores -
FIG. 12 is a diagram of theGUI 42 displaying a playlist that has been sorted by a category other than score according to one embodiment. Sorting in this fashion can pose a potential problem for the media recommendation system 10 since the media recommendation system 10 is designed to play the first media item in the sorted playlist. If the user sorts by some column other than score, then it is possible the peer devices 12-16 will begin playing media items that are either (1) not the media items most likely to match the user's tastes or (2) may be media items that have already been played before (thereby eliminating the music discovery aspects of the application). - According to a further aspect of the exemplary embodiment, embodiments for sorting the playlist are provided that maintain the system's purpose as a media discovery device by accepting media recommendations from a user's peers and by ranking those recommendations for playback by score, but also allows the user to indicate a sort criteria other than score. The media items are then sorted for playback based on a combination of both the score and the indicated sort criteria.
- In one embodiment, the peer devices 12-16 permit the sorting of the playlist by different category columns, but only subordinate to a sort by score. In this embodiment, each of the media items include a
profile score 1000 and areplay score 1002. First, the peer devices 12-16 automatically sort the media items in the playlist by the replay scores 1002. As stated above, thereplay score 1002 may be set equal to theprofile score 1000 for the media items that have yet to be played. Second, the peer devices 12-16 sort the media items by a sort criteria indicated by a user. For example, if the user wants to sort on the User column, then the peer devices 12-16 perform a double sort where the media items in the playlist are first sorted by the profile and replay scores and then by User. Finally, the playlist is displayed and the media items in the playlist are played according to the sort order. The steps of sorting and displaying the playlist are not necessarily order dependent. - In a second embodiment, the peer devices 12-16 permit the user to sort the playlist by category columns other than score first and then sort by score second. In this embodiment, the peer devices 12-16 first sort the media items by a sort criteria indicated by a user. For example, the user may select a particular category to sort on by clicking one of the category columns in the playlist. Thereafter, the peer devices 12-16 sort the media items by the score associated with each of the media items, e.g., the profile and
replay scores recommendation engine 24 as a music discovery device, the media items in the playlist are played according to sort order, but the media items that have already been played (as indicated by a corresponding replay score 1002), are automatically skipped. - In this particular case, the playlist would look similar to that of
FIG. 12 , which shows an example playlist that has been sorted by User first, and then sorted by score second. However, in this embodiment as songs are played by moving down the playlist, songs that have already been played are automatically skipped. Notice that in this embodiment, the media item being played is not necessarily the first item in the playlist, as in the case where the first media item is a replay score. - In a third embodiment, the peer devices 12-16 permit the user to sort the playlist by category columns other than score, but adjust the weight of the selected category so that the selected category has a greater weight than the other categories listed by the user. In response to receiving the user's selection of sort criteria, such as selecting a particular category to sort on by clicking one of the category columns in the playlist, a user preference associated with the sort criteria is changed. As described above, user preferences used to select the next song to play may include a weight assigned to each of a number of categories, such as user, genre, decade of release, and location/availability. The category weights are then used to score or rank the media items from the music collection 26.
- As an example, suppose the user chooses to sort the playlist by User. Then, in this embodiment, the User weight (WU) may be increased automatically from its initial value of 1 (see
FIG. 8 ) to near a maximum value, such as 9 for instance, thereby making it a dominant force in the user's preferences and calculation of theprofile score 1000. - After the user preference associated with the sort criteria is changed, the
profile score 1000 and any existingreplay score 1002 are recalculated. The media items in the playlist are then first sorted by the recalculatedreplay scores 1002, as described above, and then sorted by the sort criteria selected by the user, e.g., by the category User. The sorted playlist is displayed and the media items are played in the playlist according to sort order. -
FIG. 13 is a diagram of theGUI 42 displaying a playlist that has been sorted based on recalculated scores and then by the User category according to one embodiment. Because of the change in the weight assigned to the user category, the media items now have slightly different profile andreplay scores -
FIG. 14 is a block diagram of an exemplary embodiment of thepeer device 12′ ofFIG. 3 . However, the following discussion is equally applicable to theother peer devices 14′-16′, as well as peer devices 12-16 ofFIG. 1 . In general, thepeer device 12′ includes a control system 154 having associatedmemory 156. In this example, themusic player 22′ and therecommendation engine 24′ are at least partially implemented in software and stored in thememory 156. Thepeer device 12′ also includes astorage unit 158 operating to store the music collection 26′ (FIG. 3 ). Thestorage unit 158 may be any number of digital storage devices such as, for example, one or more hard-disc drives, one or more memory cards, RAM, one or more external digital storage devices, or the like. The music collection 26′ may alternatively be stored in thememory 156. Thepeer device 12′ also includes acommunication interface 160. Thecommunication interface 160 includes a network interface communicatively coupling thepeer device 12′ to the network 20 (FIG. 3 ). Thepeer device 12′ also includes a user interface 162, which may include components such as a display, speakers, a user input device, and the like. - The present invention provides substantial opportunity for variation without departing from the spirit or scope of the present invention. For example, while
FIG. 1 illustrates the peer devices 12-16 forming the P2P network via local wireless communication andFIG. 3 illustrates thepeer devices 12′-16′ forming the P2P network via thenetwork 20, the present invention is not limited to either a local wireless P2P network or a WAN P2P network in the alternative. More specifically, a particular peer device, such as thepeer device 12, may form a P2P network with other peer devices using both local wireless communication and thenetwork 20. Thus, for example, thepeer device 12 may receive recommendations from both thepeer devices 14, 16 (FIG. 1 ) via local wireless communication and from thepeer devices 14′-16′ (FIG. 3 ) via thenetwork 20. - A method and system for sorting media items in a playlist on a media device that are ranked by score has been disclosed. The present invention has been described in accordance with the embodiments shown, and one of ordinary skill in the art will readily recognize that there could be variations to the embodiments, and any variations would be within the spirit and scope of the present invention. For example, the present invention can be implemented using hardware, software, a computer readable medium containing program instructions, or a combination thereof. Software written according to the present invention is to be either stored in some form of computer-readable medium such as memory or CD-ROM, or is to be transmitted over a network, and is to be executed by a processor. Consequently, a computer-readable medium is intended to include a computer readable signal, which may be, for example, transmitted over a network. Accordingly, many modifications may be made by one of ordinary skill in the art without departing from the spirit and scope of the appended claims.
Claims (25)
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/757,219 US20090049045A1 (en) | 2007-06-01 | 2007-06-01 | Method and system for sorting media items in a playlist on a media device |
US12/776,604 US8983950B2 (en) | 2007-06-01 | 2010-05-10 | Method and system for sorting media items in a playlist on a media device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US11/757,219 US20090049045A1 (en) | 2007-06-01 | 2007-06-01 | Method and system for sorting media items in a playlist on a media device |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/776,604 Division US8983950B2 (en) | 2007-06-01 | 2010-05-10 | Method and system for sorting media items in a playlist on a media device |
Publications (1)
Publication Number | Publication Date |
---|---|
US20090049045A1 true US20090049045A1 (en) | 2009-02-19 |
Family
ID=40363781
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US11/757,219 Abandoned US20090049045A1 (en) | 2007-06-01 | 2007-06-01 | Method and system for sorting media items in a playlist on a media device |
US12/776,604 Expired - Fee Related US8983950B2 (en) | 2007-06-01 | 2010-05-10 | Method and system for sorting media items in a playlist on a media device |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US12/776,604 Expired - Fee Related US8983950B2 (en) | 2007-06-01 | 2010-05-10 | Method and system for sorting media items in a playlist on a media device |
Country Status (1)
Country | Link |
---|---|
US (2) | US20090049045A1 (en) |
Cited By (38)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20080319833A1 (en) * | 2006-07-11 | 2008-12-25 | Concert Technology Corporation | P2p real time media recommendations |
US20100037752A1 (en) * | 2008-08-13 | 2010-02-18 | Emil Hansson | Music player connection system for enhanced playlist selection |
US8060525B2 (en) | 2007-12-21 | 2011-11-15 | Napo Enterprises, Llc | Method and system for generating media recommendations in a distributed environment based on tagging play history information with location information |
US20120023403A1 (en) * | 2010-07-21 | 2012-01-26 | Tilman Herberger | System and method for dynamic generation of individualized playlists according to user selection of musical features |
US8117193B2 (en) | 2007-12-21 | 2012-02-14 | Lemi Technology, Llc | Tunersphere |
US20120041972A1 (en) * | 2010-07-22 | 2012-02-16 | Myspace, Inc. | Metadata ingestion to stream customization |
US8200602B2 (en) | 2009-02-02 | 2012-06-12 | Napo Enterprises, Llc | System and method for creating thematic listening experiences in a networked peer media recommendation environment |
US8224856B2 (en) | 2007-11-26 | 2012-07-17 | Abo Enterprises, Llc | Intelligent default weighting process for criteria utilized to score media content items |
US20120209962A1 (en) * | 2000-01-24 | 2012-08-16 | Aviv Eyal | Streaming media search and playback system |
US8285776B2 (en) | 2007-06-01 | 2012-10-09 | Napo Enterprises, Llc | System and method for processing a received media item recommendation message comprising recommender presence information |
US8396951B2 (en) | 2007-12-20 | 2013-03-12 | Napo Enterprises, Llc | Method and system for populating a content repository for an internet radio service based on a recommendation network |
US8422490B2 (en) | 2006-07-11 | 2013-04-16 | Napo Enterprises, Llc | System and method for identifying music content in a P2P real time recommendation network |
US8434024B2 (en) | 2007-04-05 | 2013-04-30 | Napo Enterprises, Llc | System and method for automatically and graphically associating programmatically-generated media item recommendations related to a user's socially recommended media items |
US8577874B2 (en) | 2007-12-21 | 2013-11-05 | Lemi Technology, Llc | Tunersphere |
US20140032537A1 (en) * | 2012-07-30 | 2014-01-30 | Ajay Shekhawat | Apparatus, system, and method for music identification |
US20140108425A1 (en) * | 2012-10-17 | 2014-04-17 | Yahoo! Inc. | Visible personalization |
US20140173070A1 (en) * | 2012-12-13 | 2014-06-19 | Microsoft Corporation | Updating of digital content buffering order |
US8825668B2 (en) * | 2011-11-16 | 2014-09-02 | Google Inc. | Method and apparatus for updating song playlists based on received user ratings |
US8839141B2 (en) | 2007-06-01 | 2014-09-16 | Napo Enterprises, Llc | Method and system for visually indicating a replay status of media items on a media device |
US20140298217A1 (en) * | 2013-03-28 | 2014-10-02 | Nokia Corporation | Method and apparatus for providing a drawer-based user interface for content access or recommendation |
US8909667B2 (en) | 2011-11-01 | 2014-12-09 | Lemi Technology, Llc | Systems, methods, and computer readable media for generating recommendations in a media recommendation system |
US8983950B2 (en) | 2007-06-01 | 2015-03-17 | Napo Enterprises, Llc | Method and system for sorting media items in a playlist on a media device |
US20150121220A1 (en) * | 2013-10-24 | 2015-04-30 | Samsung Electronics Co., Ltd. | Terminal, method for displaying screen thereof, and computer readable recording medium |
US9037632B2 (en) | 2007-06-01 | 2015-05-19 | Napo Enterprises, Llc | System and method of generating a media item recommendation message with recommender presence information |
US20150142924A1 (en) * | 2013-11-21 | 2015-05-21 | Samsung Electronics Co., Ltd. | Method for providing contents and electronic device using the same |
US9060034B2 (en) | 2007-11-09 | 2015-06-16 | Napo Enterprises, Llc | System and method of filtering recommenders in a media item recommendation system |
US9164993B2 (en) | 2007-06-01 | 2015-10-20 | Napo Enterprises, Llc | System and method for propagating a media item recommendation message comprising recommender presence information |
US20160070789A1 (en) * | 2014-09-05 | 2016-03-10 | Next Audio Labs, Llc | System, method and software product for sorting audio data and playlist cloning |
US20170097993A1 (en) * | 2012-10-22 | 2017-04-06 | Beats Music, Llc | Systems and methods for distributing a playlist within a music service |
CN106792175A (en) * | 2016-12-22 | 2017-05-31 | 深圳Tcl数字技术有限公司 | Program data processing method and system |
US9734507B2 (en) | 2007-12-20 | 2017-08-15 | Napo Enterprise, Llc | Method and system for simulating recommendations in a social network for an offline user |
US20170244770A1 (en) * | 2016-02-19 | 2017-08-24 | Spotify Ab | System and method for client-initiated playlist shuffle in a media content environment |
US20180025005A1 (en) * | 2016-07-22 | 2018-01-25 | Rhapsody International Inc. | Media preference affinity recommendation systems and methods |
US20180365239A1 (en) * | 2017-06-19 | 2018-12-20 | Reliance Jio Infocomm Limited | Systems and methods for real-time multi-party recommendation in a peer to peer communication |
US10229120B1 (en) * | 2008-08-08 | 2019-03-12 | Amazon Technologies, Inc. | Group control of networked media play |
US10412183B2 (en) * | 2017-02-24 | 2019-09-10 | Spotify Ab | Methods and systems for personalizing content in accordance with divergences in a user's listening history |
US10536749B2 (en) | 2018-03-30 | 2020-01-14 | Rhapsody International, Inc. | Adaptive predictive caching systems and methods |
CN113515693A (en) * | 2020-10-09 | 2021-10-19 | 苏州淘喜网络科技有限公司 | City scenic spot wisdom recommendation system |
Families Citing this family (31)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090049030A1 (en) * | 2007-08-13 | 2009-02-19 | Concert Technology Corporation | System and method for reducing the multiple listing of a media item in a playlist |
US20110029928A1 (en) * | 2009-07-31 | 2011-02-03 | Apple Inc. | System and method for displaying interactive cluster-based media playlists |
US9171001B2 (en) * | 2011-01-05 | 2015-10-27 | Sony Corporation | Personalized playlist arrangement and stream selection |
US9591339B1 (en) | 2012-11-27 | 2017-03-07 | Apple Inc. | Agnostic media delivery system |
US9774917B1 (en) | 2012-12-10 | 2017-09-26 | Apple Inc. | Channel bar user interface |
US10200761B1 (en) | 2012-12-13 | 2019-02-05 | Apple Inc. | TV side bar user interface |
US9532111B1 (en) | 2012-12-18 | 2016-12-27 | Apple Inc. | Devices and method for providing remote control hints on a display |
US10521188B1 (en) | 2012-12-31 | 2019-12-31 | Apple Inc. | Multi-user TV user interface |
US9043702B2 (en) * | 2013-03-13 | 2015-05-26 | Rovi Guides, Inc. | Methods and systems for creating a shaped playlist |
US9442935B2 (en) * | 2013-05-31 | 2016-09-13 | Nokia Technologies Oy | Method and apparatus for presenting media to users |
JP2015022654A (en) * | 2013-07-22 | 2015-02-02 | 株式会社東芝 | Electronic apparatus, method, and program |
US20150039644A1 (en) * | 2013-08-05 | 2015-02-05 | Aliphcom | System and method for personalized recommendation and optimization of playlists and the presentation of content |
US9619470B2 (en) * | 2014-02-04 | 2017-04-11 | Google Inc. | Adaptive music and video recommendations |
CN111782129B (en) | 2014-06-24 | 2023-12-08 | 苹果公司 | Column interface for navigating in a user interface |
JP6496752B2 (en) | 2014-06-24 | 2019-04-03 | アップル インコーポレイテッドApple Inc. | Input device and user interface interaction |
CN105354018B (en) * | 2015-09-29 | 2019-05-21 | 小米科技有限责任公司 | For replacing the method, device and equipment of display background |
US10043500B2 (en) | 2016-05-11 | 2018-08-07 | Miq Limited | Method and apparatus for making music selection based on acoustic features |
DK201670582A1 (en) | 2016-06-12 | 2018-01-02 | Apple Inc | Identifying applications on which content is available |
DK201670581A1 (en) | 2016-06-12 | 2018-01-08 | Apple Inc | Device-level authorization for viewing content |
US20180113579A1 (en) | 2016-10-26 | 2018-04-26 | Apple Inc. | User interfaces for browsing content from multiple content applications on an electronic device |
US10223063B2 (en) | 2017-02-24 | 2019-03-05 | Spotify Ab | Methods and systems for personalizing user experience based on discovery metrics |
DK201870354A1 (en) | 2018-06-03 | 2019-12-20 | Apple Inc. | Setup procedures for an electronic device |
EP3928194A1 (en) | 2019-03-24 | 2021-12-29 | Apple Inc. | User interfaces including selectable representations of content items |
CN113940088A (en) | 2019-03-24 | 2022-01-14 | 苹果公司 | User interface for viewing and accessing content on an electronic device |
US11683565B2 (en) | 2019-03-24 | 2023-06-20 | Apple Inc. | User interfaces for interacting with channels that provide content that plays in a media browsing application |
WO2020243645A1 (en) | 2019-05-31 | 2020-12-03 | Apple Inc. | User interfaces for a podcast browsing and playback application |
US11863837B2 (en) | 2019-05-31 | 2024-01-02 | Apple Inc. | Notification of augmented reality content on an electronic device |
US11843838B2 (en) | 2020-03-24 | 2023-12-12 | Apple Inc. | User interfaces for accessing episodes of a content series |
US11899895B2 (en) | 2020-06-21 | 2024-02-13 | Apple Inc. | User interfaces for setting up an electronic device |
US11720229B2 (en) | 2020-12-07 | 2023-08-08 | Apple Inc. | User interfaces for browsing and presenting content |
US11934640B2 (en) | 2021-01-29 | 2024-03-19 | Apple Inc. | User interfaces for record labels |
Citations (95)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4870579A (en) * | 1987-10-01 | 1989-09-26 | Neonics, Inc. | System and method of predicting subjective reactions |
US5621456A (en) * | 1993-06-22 | 1997-04-15 | Apple Computer, Inc. | Methods and apparatus for audio-visual interface for the display of multiple program categories |
US5771778A (en) * | 1996-10-15 | 1998-06-30 | Maclean, Iv; John A. | Marketing system |
US5956027A (en) * | 1995-12-12 | 1999-09-21 | At&T Corp | Method and apparatus for sharing a web page |
US5960437A (en) * | 1989-07-06 | 1999-09-28 | Krawchuk; Kenneth V. | System and method for storing and managing information |
US5963916A (en) * | 1990-09-13 | 1999-10-05 | Intouch Group, Inc. | Network apparatus and method for preview of music products and compilation of market data |
US6134552A (en) * | 1997-10-07 | 2000-10-17 | Sap Aktiengesellschaft | Knowledge provider with logical hyperlinks |
US6195657B1 (en) * | 1996-09-26 | 2001-02-27 | Imana, Inc. | Software, method and apparatus for efficient categorization and recommendation of subjects according to multidimensional semantics |
US6266649B1 (en) * | 1998-09-18 | 2001-07-24 | Amazon.Com, Inc. | Collaborative recommendations using item-to-item similarity mappings |
US20010013009A1 (en) * | 1997-05-20 | 2001-08-09 | Daniel R. Greening | System and method for computer-based marketing |
US20010021914A1 (en) * | 1998-09-18 | 2001-09-13 | Jacobi Jennifer A. | Personalized recommendations of items represented within a database |
US20010025259A1 (en) * | 2000-03-02 | 2001-09-27 | Pierre Rouchon | Radio station digital music distribution system and method |
US6314420B1 (en) * | 1996-04-04 | 2001-11-06 | Lycos, Inc. | Collaborative/adaptive search engine |
US6353823B1 (en) * | 1999-03-08 | 2002-03-05 | Intel Corporation | Method and system for using associative metadata |
US20020052674A1 (en) * | 2000-08-23 | 2002-05-02 | Ting-Mao Chang | Continuous local information delivery system and method |
US20020052873A1 (en) * | 2000-07-21 | 2002-05-02 | Joaquin Delgado | System and method for obtaining user preferences and providing user recommendations for unseen physical and information goods and services |
US20020052207A1 (en) * | 2000-08-07 | 2002-05-02 | Hunzinger Jason F. | Context tags for context-aware computer programs |
US6388714B1 (en) * | 1995-10-02 | 2002-05-14 | Starsight Telecast Inc | Interactive computer system for providing television schedule information |
US20020082901A1 (en) * | 2000-05-03 | 2002-06-27 | Dunning Ted E. | Relationship discovery engine |
US20020087382A1 (en) * | 2001-01-03 | 2002-07-04 | Tiburcio Vincio B. | Method and system for assigning and tracking tasks, such as under an electronic auction |
US20020103796A1 (en) * | 2001-01-31 | 2002-08-01 | Sonicblue, Inc. | Method for parametrically sorting music files |
US20020108112A1 (en) * | 2001-02-02 | 2002-08-08 | Ensequence, Inc. | System and method for thematically analyzing and annotating an audio-visual sequence |
US6438579B1 (en) * | 1999-07-16 | 2002-08-20 | Agent Arts, Inc. | Automated content and collaboration-based system and methods for determining and providing content recommendations |
US20020116533A1 (en) * | 2001-02-20 | 2002-08-22 | Holliman Matthew J. | System for providing a multimedia peer-to-peer computing platform |
US20020138836A1 (en) * | 2001-03-23 | 2002-09-26 | Koninklijke Philips Electronics N.V. | Method and apparatus for recommending television programming through a celebrity or using a celebrity profile |
US20020165793A1 (en) * | 2001-02-01 | 2002-11-07 | Brand Reon Johannes | Method and arrangement for facilitating the sharing of content items |
US20020178057A1 (en) * | 2001-05-10 | 2002-11-28 | International Business Machines Corporation | System and method for item recommendations |
US20020194325A1 (en) * | 2001-05-30 | 2002-12-19 | Mazen Chmaytelli | Method and apparatus for individually estimating time required to download application programs to remote modules over wireless network |
US6498955B1 (en) * | 1999-03-19 | 2002-12-24 | Accenture Llp | Member preference control of an environment |
US20030001907A1 (en) * | 2001-06-28 | 2003-01-02 | Nokia Corporation | Method and apparatus for scrollable cross-point navigation in a user interface |
US20030005074A1 (en) * | 2000-04-25 | 2003-01-02 | Herz Frederick S.M. | Method of combining shared buffers of continuous digital media data with media delivery scheduling |
US20030014407A1 (en) * | 2001-04-11 | 2003-01-16 | Green Arrow Media, Inc. | System and method for making media recommendations |
US20030018799A1 (en) * | 2000-01-24 | 2003-01-23 | Aviv Eyal | System and method for media search and playback |
US6526411B1 (en) * | 1999-11-15 | 2003-02-25 | Sean Ward | System and method for creating dynamic playlists |
US20030046399A1 (en) * | 1999-11-10 | 2003-03-06 | Jeffrey Boulter | Online playback system with community bias |
US20030055657A1 (en) * | 2000-04-20 | 2003-03-20 | Masanao Yoshida | Decoder |
US20030055516A1 (en) * | 2000-06-29 | 2003-03-20 | Dan Gang | Using a system for prediction of musical preferences for the distribution of musical content over cellular networks |
US20030066068A1 (en) * | 2001-09-28 | 2003-04-03 | Koninklijke Philips Electronics N.V. | Individual recommender database using profiles of others |
US20030069806A1 (en) * | 2001-10-08 | 2003-04-10 | Konomi Shin?Apos;Ichi | System and method for sharing needs and information using physical entities |
US20030084151A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Web-based imaging service providing reservation |
US20030084086A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Web-based imaging service enabling jobs to be interrupted gracefully |
US20030084044A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Configurable web-based imaging service that prevents time consuming jobs from printing |
US20030089218A1 (en) * | 2000-06-29 | 2003-05-15 | Dan Gang | System and method for prediction of musical preferences |
US6567797B1 (en) * | 1999-01-26 | 2003-05-20 | Xerox Corporation | System and method for providing recommendations based on multi-modal user clusters |
US20030097186A1 (en) * | 2001-11-13 | 2003-05-22 | Koninklijke Philips Electronics N.V | Method and apparatus for generating a stereotypical profile for recommending items of interest using feature-based clustering |
US20030115167A1 (en) * | 2000-07-11 | 2003-06-19 | Imran Sharif | Web browser implemented in an Internet appliance |
US6587850B2 (en) * | 1999-11-02 | 2003-07-01 | Claritech Corporation | Method and apparatus for profile score threshold setting and updating |
US6587127B1 (en) * | 1997-11-25 | 2003-07-01 | Motorola, Inc. | Content player method and server with user profile |
US20030135513A1 (en) * | 2001-08-27 | 2003-07-17 | Gracenote, Inc. | Playlist generation, delivery and navigation |
US20030149612A1 (en) * | 2001-10-31 | 2003-08-07 | International Business Machines Corporation | Enabling a recommendation system to provide user-to-user recommendations |
US20030149581A1 (en) * | 2002-08-28 | 2003-08-07 | Imran Chaudhri | Method and system for providing intelligent network content delivery |
US20030153338A1 (en) * | 2001-07-24 | 2003-08-14 | Herz Frederick S. M. | Autoband |
US6609253B1 (en) * | 1999-12-30 | 2003-08-19 | Bellsouth Intellectual Property Corporation | Method and system for providing interactive media VCR control |
US20030160770A1 (en) * | 2002-02-25 | 2003-08-28 | Koninklijke Philips Electronics N.V. | Method and apparatus for an adaptive audio-video program recommendation system |
US6615208B1 (en) * | 2000-09-01 | 2003-09-02 | Telcordia Technologies, Inc. | Automatic recommendation of products using latent semantic indexing of content |
US6629104B1 (en) * | 2000-11-22 | 2003-09-30 | Eastman Kodak Company | Method for adding personalized metadata to a collection of digital images |
US20030191753A1 (en) * | 2002-04-08 | 2003-10-09 | Michael Hoch | Filtering contents using a learning mechanism |
US6636836B1 (en) * | 1999-07-21 | 2003-10-21 | Iwingz Co., Ltd. | Computer readable medium for recommending items with multiple analyzing components |
US6654786B1 (en) * | 1998-04-30 | 2003-11-25 | Openwave Systems Inc. | Method and apparatus for informing wireless clients about updated information |
US6662231B1 (en) * | 2000-06-30 | 2003-12-09 | Sei Information Technology | Method and system for subscriber-based audio service over a communication network |
US20030232614A1 (en) * | 2002-06-15 | 2003-12-18 | Squibbs Robert Francis | Wireless communication cost prediction for mobile device |
US20030237093A1 (en) * | 2002-06-19 | 2003-12-25 | Marsh David J. | Electronic program guide systems and methods for handling multiple users |
US20030236582A1 (en) * | 2002-06-25 | 2003-12-25 | Lee Zamir | Selection of items based on user reactions |
US6670537B2 (en) * | 2001-04-20 | 2003-12-30 | Sony Corporation | Media player for distribution of music samples |
US20040003392A1 (en) * | 2002-06-26 | 2004-01-01 | Koninklijke Philips Electronics N.V. | Method and apparatus for finding and updating user group preferences in an entertainment system |
US20040019497A1 (en) * | 2001-12-04 | 2004-01-29 | Volk Andrew R. | Method and system for providing listener-requested music over a network |
US6694482B1 (en) * | 1998-09-11 | 2004-02-17 | Sbc Technology Resources, Inc. | System and methods for an architectural framework for design of an adaptive, personalized, interactive content delivery system |
US20040034441A1 (en) * | 2002-08-16 | 2004-02-19 | Malcolm Eaton | System and method for creating an index of audio tracks |
US20040073919A1 (en) * | 2002-09-26 | 2004-04-15 | Srinivas Gutta | Commercial recommender |
US20040088271A1 (en) * | 2000-10-10 | 2004-05-06 | Damon Cleckler | Media type identification |
US20040091235A1 (en) * | 2002-11-07 | 2004-05-13 | Srinivas Gutta | Tracking of partially viewed shows so that they can be marked for deletion when a personal video recorder runs out of space |
US20040107821A1 (en) * | 2002-10-03 | 2004-06-10 | Polyphonic Human Media Interface, S.L. | Method and system for music recommendation |
US6757517B2 (en) * | 2001-05-10 | 2004-06-29 | Chin-Chi Chang | Apparatus and method for coordinated music playback in wireless ad-hoc networks |
US6757691B1 (en) * | 1999-11-09 | 2004-06-29 | America Online, Inc. | Predicting content choices by searching a profile database |
US20040128286A1 (en) * | 2002-11-18 | 2004-07-01 | Pioneer Corporation | Music searching method, music searching device, and music searching program |
US20040133908A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040133914A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040133657A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040162830A1 (en) * | 2003-02-18 | 2004-08-19 | Sanika Shirwadkar | Method and system for searching location based information on a mobile device |
US20040162783A1 (en) * | 2003-01-31 | 2004-08-19 | Gross John N. | Media queue replenisher |
US20040181540A1 (en) * | 2003-03-13 | 2004-09-16 | Younghee Jung | System and method for the provision of socially-relevant recommendations |
US20040186733A1 (en) * | 2002-12-13 | 2004-09-23 | Stephen Loomis | Stream sourcing content delivery system |
US20040199527A1 (en) * | 2003-03-17 | 2004-10-07 | Xerox Corporation. | System and method for providing usage metrics of digital content |
US20040215793A1 (en) * | 2001-09-30 | 2004-10-28 | Ryan Grant James | Personal contact network |
US20040216108A1 (en) * | 2003-04-25 | 2004-10-28 | Apple Computer, Inc. | Network-based purchase and distribution of media in accordance with priorities |
US20040224638A1 (en) * | 2003-04-25 | 2004-11-11 | Apple Computer, Inc. | Media player system |
US20040254911A1 (en) * | 2000-12-22 | 2004-12-16 | Xerox Corporation | Recommender system and method |
US20040252604A1 (en) * | 2001-09-10 | 2004-12-16 | Johnson Lisa Renee | Method and apparatus for creating an indexed playlist in a digital audio data player |
US6912528B2 (en) * | 2000-01-18 | 2005-06-28 | Gregg S. Homer | Rechargeable media distribution and play system |
US20060195512A1 (en) * | 2005-02-28 | 2006-08-31 | Yahoo! Inc. | System and method for playlist management and distribution |
US7296032B1 (en) * | 2001-05-17 | 2007-11-13 | Fotiva, Inc. | Digital media organization and access |
US7509291B2 (en) * | 2003-10-17 | 2009-03-24 | Stamps.Com Inc. | Formatting value-bearing item indicia |
US7548915B2 (en) * | 2005-09-14 | 2009-06-16 | Jorey Ramer | Contextual mobile content placement on a mobile communication facility |
US7590546B2 (en) * | 2003-10-22 | 2009-09-15 | Chuang Thomas C | System and method for renting or purchasing goods via a communications network |
US7614006B2 (en) * | 2005-02-11 | 2009-11-03 | International Business Machines Corporation | Methods and apparatus for implementing inline controls for transposing rows and columns of computer-based tables |
Family Cites Families (236)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060026048A1 (en) | 1997-08-08 | 2006-02-02 | Kolawa Adam K | Method and apparatus for automated selection, organization, and recommendation of items based on user preference topography |
JPH1166824A (en) | 1997-08-15 | 1999-03-09 | Sony Corp | Audio server system |
WO2000011540A1 (en) | 1998-08-24 | 2000-03-02 | Hitachi, Ltd. | Method for displaying multimedia information processing method, processing device, and processing system |
JP4065472B2 (en) | 1999-04-27 | 2008-03-26 | キヤノン株式会社 | Image processing apparatus and method, and storage medium |
US20050038819A1 (en) | 2000-04-21 | 2005-02-17 | Hicken Wendell T. | Music Recommendation system and method |
US7013301B2 (en) | 2003-09-23 | 2006-03-14 | Predixis Corporation | Audio fingerprinting system and method |
US6973475B2 (en) | 1999-09-18 | 2005-12-06 | Wildtangent | Dynamic scalable multi-media content streaming |
US6941275B1 (en) | 1999-10-07 | 2005-09-06 | Remi Swierczek | Music identification system |
US7072846B1 (en) | 1999-11-16 | 2006-07-04 | Emergent Music Llc | Clusters for rapid artist-audience matching |
GB2397205B (en) | 1999-11-10 | 2004-09-15 | Launch Media Inc | A user interface for an internet data stream transmission system |
US6904264B1 (en) | 1999-12-21 | 2005-06-07 | Texas Instruments Incorporated | Method requesting and paying for download digital radio content |
US7340481B1 (en) | 2000-01-21 | 2008-03-04 | International Business Machines Corp. | Method and system for adding user-provided content to a content object stored in a data repository |
US6947922B1 (en) | 2000-06-16 | 2005-09-20 | Xerox Corporation | Recommender system and method for generating implicit ratings based on user interactions with handheld devices |
KR20040041082A (en) | 2000-07-24 | 2004-05-13 | 비브콤 인코포레이티드 | System and method for indexing, searching, identifying, and editing portions of electronic multimedia files |
US20060064716A1 (en) | 2000-07-24 | 2006-03-23 | Vivcom, Inc. | Techniques for navigating multiple video streams |
US6990453B2 (en) | 2000-07-31 | 2006-01-24 | Landmark Digital Services Llc | System and methods for recognizing sound and music signals in high noise and distortion |
WO2002021335A1 (en) | 2000-09-01 | 2002-03-14 | Telcordia Technologies, Inc. | Automatic recommendation of products using latent semantic indexing of content |
US7653654B1 (en) | 2000-09-29 | 2010-01-26 | International Business Machines Corporation | Method and system for selectively accessing files accessible through a network |
CN100431320C (en) | 2000-10-26 | 2008-11-05 | 普里斯梅迪亚网络有限公司 | Method and appts. for real-time parallel delivery of segments of large payload file |
CA2327119A1 (en) | 2000-11-30 | 2002-05-30 | Ibm Canada Limited-Ibm Canada Limitee | Rule-based personalization framework for integrating recommendation systems |
US7240358B2 (en) | 2000-12-08 | 2007-07-03 | Digital Fountain, Inc. | Methods and apparatus for scheduling, serving, receiving media-on demand for clients, servers arranged according to constraints on resources |
US7035871B2 (en) | 2000-12-19 | 2006-04-25 | Intel Corporation | Method and apparatus for intelligent and automatic preference detection of media content |
CA2742644C (en) | 2001-02-20 | 2016-04-12 | Caron S. Ellis | Multiple radio signal processing and storing method and apparatus |
GB2372850A (en) | 2001-03-02 | 2002-09-04 | Hewlett Packard Co | Computer network |
US7047406B2 (en) | 2001-03-21 | 2006-05-16 | Qurlo Holdings, Inc. | Method and system for providing a secure peer-to-peer file delivery network |
US6968334B2 (en) | 2001-05-15 | 2005-11-22 | Nokia Corporation | Method and business process to maintain privacy in distributed recommendation systems |
US6976228B2 (en) | 2001-06-27 | 2005-12-13 | Nokia Corporation | Graphical user interface comprising intersecting scroll bar for selection of content |
US7463890B2 (en) | 2002-07-24 | 2008-12-09 | Herz Frederick S M | Method and apparatus for establishing ad hoc communications pathways between source and destination nodes in a communications network |
US7222187B2 (en) | 2001-07-31 | 2007-05-22 | Sun Microsystems, Inc. | Distributed trust mechanism for decentralized networks |
US7594246B1 (en) | 2001-08-29 | 2009-09-22 | Vulcan Ventures, Inc. | System and method for focused navigation within a user interface |
US7283992B2 (en) | 2001-11-30 | 2007-10-16 | Microsoft Corporation | Media agent to suggest contextually related media content |
KR20040065260A (en) | 2001-12-13 | 2004-07-21 | 코닌클리케 필립스 일렉트로닉스 엔.브이. | Recommending media content on a media system |
US7139757B1 (en) | 2001-12-21 | 2006-11-21 | The Procter & Gamble Company | Contextual relevance engine and knowledge delivery system |
US7096234B2 (en) | 2002-03-21 | 2006-08-22 | Microsoft Corporation | Methods and systems for providing playlists |
US6941324B2 (en) | 2002-03-21 | 2005-09-06 | Microsoft Corporation | Methods and systems for processing playlists |
US9715500B2 (en) | 2004-04-27 | 2017-07-25 | Apple Inc. | Method and system for sharing playlists |
US6987221B2 (en) | 2002-05-30 | 2006-01-17 | Microsoft Corporation | Auto playlist generation with multiple seed songs |
JP4039158B2 (en) | 2002-07-22 | 2008-01-30 | ソニー株式会社 | Information processing apparatus and method, information processing system, recording medium, and program |
GB2391663B (en) | 2002-08-06 | 2005-06-22 | Hewlett Packard Development Co | Method and server for establishing coordinated consumption of a streamed media object by multiple devices |
EP1540550A4 (en) | 2002-08-19 | 2006-09-27 | Choicestream | Statistical personalized recommendation system |
US8230465B2 (en) | 2002-09-09 | 2012-07-24 | Koninklijke Philips Electronics N.V. | Data network, user terminal and method for providing recommendations |
US7089248B1 (en) | 2002-11-04 | 2006-08-08 | Adobe Systems Incorporated | Group file delivery including user-defined metadata |
US7293065B2 (en) | 2002-11-20 | 2007-11-06 | Return Path | Method of electronic message delivery with penalties for unsolicited messages |
US20060053080A1 (en) | 2003-02-03 | 2006-03-09 | Brad Edmonson | Centralized management of digital rights licensing |
US7644166B2 (en) | 2003-03-03 | 2010-01-05 | Aol Llc | Source audio identifiers for digital communications |
US20050021678A1 (en) | 2003-03-11 | 2005-01-27 | Wegener Communications, Inc. | Satellite network control by internet with file upload and distribution |
US7805746B2 (en) | 2003-03-14 | 2010-09-28 | Tvworks, Llc | Optimized application on-the-wire format for construction, delivery and display of enhanced television content |
US8572104B2 (en) | 2003-04-18 | 2013-10-29 | Kaleidescape, Inc. | Sales of collections excluding those already purchased |
US7120619B2 (en) | 2003-04-22 | 2006-10-10 | Microsoft Corporation | Relationship view |
EP1484693A1 (en) | 2003-06-04 | 2004-12-08 | Sony NetServices GmbH | Content recommendation device with an arrangement engine |
US7685117B2 (en) | 2003-06-05 | 2010-03-23 | Hayley Logistics Llc | Method for implementing search engine |
US8103540B2 (en) | 2003-06-05 | 2012-01-24 | Hayley Logistics Llc | System and method for influencing recommender system |
US7177872B2 (en) | 2003-06-23 | 2007-02-13 | Sony Corporation | Interface for media publishing |
US20050026559A1 (en) | 2003-07-01 | 2005-02-03 | Robert Khedouri | Method and apparatus for wirelessly transferring music and other audio content to a car stereo or home stereo |
US20050038876A1 (en) | 2003-08-15 | 2005-02-17 | Aloke Chaudhuri | System and method for instant match based on location, presence, personalization and communication |
CN1875377A (en) | 2003-09-10 | 2006-12-06 | 音乐匹配公司 | Music purchasing and playing system and method |
US20050060264A1 (en) | 2003-09-15 | 2005-03-17 | Microsoft Corporation | System and method for creating and playing globally relevant playlists |
US9100814B2 (en) | 2003-09-17 | 2015-08-04 | Unwired Plant, Llc | Federated download of digital content to wireless devices |
US20130097302A9 (en) | 2003-10-01 | 2013-04-18 | Robert Khedouri | Audio visual player apparatus and system and method of content distribution using the same |
US20060008256A1 (en) | 2003-10-01 | 2006-01-12 | Khedouri Robert K | Audio visual player apparatus and system and method of content distribution using the same |
US7844548B2 (en) | 2003-10-15 | 2010-11-30 | Apple Inc. | Techniques and systems for electronic submission of media for network-based distribution |
US20050154608A1 (en) | 2003-10-21 | 2005-07-14 | Fair Share Digital Media Distribution | Digital media distribution and trading system used via a computer network |
US20050091107A1 (en) | 2003-10-22 | 2005-04-28 | Scott Blum | Media player and access system and method and media player operating system architecture |
US20060206582A1 (en) | 2003-11-17 | 2006-09-14 | David Finn | Portable music device with song tag capture |
ES2448400T3 (en) | 2003-11-26 | 2014-03-13 | Sony Corporation | System to access content elements on a network |
US7606772B2 (en) | 2003-11-28 | 2009-10-20 | Manyworlds, Inc. | Adaptive social computing methods |
US7627644B2 (en) | 2003-11-28 | 2009-12-01 | Canon Kabushiki Kaisha | Recipient-centred proactive caching in a peer-to-peer system |
US7441041B2 (en) | 2003-11-29 | 2008-10-21 | Microsoft Corporation | Network download regulation method and system |
US7523096B2 (en) | 2003-12-03 | 2009-04-21 | Google Inc. | Methods and systems for personalized network searching |
US7515873B2 (en) | 2003-12-04 | 2009-04-07 | International Business Machines Corporation | Responding to recipient rated wirelessly broadcast electronic works |
US7620362B2 (en) | 2003-12-04 | 2009-11-17 | International Business Machines Corporation | Controlling access to wirelessly broadcast electronic works during playback |
US20050138198A1 (en) | 2003-12-18 | 2005-06-23 | It Works | Methods, apparatuses, systems, and articles for determining and implementing an efficient computer network architecture |
JP2005197913A (en) | 2004-01-06 | 2005-07-21 | Canon Inc | Apparatus and method for image processing |
KR20070007047A (en) | 2004-01-20 | 2007-01-12 | 코닌클리케 필립스 일렉트로닉스 엔.브이. | Integrated playlist generator |
US20060010167A1 (en) | 2004-01-21 | 2006-01-12 | Grace James R | Apparatus for navigation of multimedia content in a vehicle multimedia system |
WO2005072405A2 (en) | 2004-01-27 | 2005-08-11 | Transpose, Llc | Enabling recommendations and community by massively-distributed nearest-neighbor searching |
KR20050077874A (en) | 2004-01-28 | 2005-08-04 | 삼성전자주식회사 | Method of supporting scalable video stream and device thereof |
US7373614B1 (en) | 2004-02-10 | 2008-05-13 | Apple Inc. | Navigation history |
US7512658B2 (en) | 2004-02-26 | 2009-03-31 | International Business Machines Corporation | Providing a portion of an electronic mail message based upon a transfer rate, a message size, and a file format |
US7594245B2 (en) | 2004-03-04 | 2009-09-22 | Sharp Laboratories Of America, Inc. | Networked video devices |
US8949899B2 (en) | 2005-03-04 | 2015-02-03 | Sharp Laboratories Of America, Inc. | Collaborative recommendation system |
US20050197961A1 (en) | 2004-03-08 | 2005-09-08 | Miller Gregory P. | Preference engine for generating predictions on entertainment products of services |
US8788492B2 (en) | 2004-03-15 | 2014-07-22 | Yahoo!, Inc. | Search system and methods with integration of user annotations from a trust network |
US7496623B2 (en) | 2004-04-23 | 2009-02-24 | Yahoo! Inc. | System and method for enhanced messaging including a displayable status indicator |
US8412763B2 (en) | 2006-06-21 | 2013-04-02 | Apple Inc. | Podcast organization and usage at a computing device |
US20060265409A1 (en) | 2005-05-21 | 2006-11-23 | Apple Computer, Inc. | Acquisition, management and synchronization of podcasts |
US8516035B2 (en) | 2006-06-21 | 2013-08-20 | Apple Inc. | Browsing and searching of podcasts |
US20050246391A1 (en) | 2004-04-29 | 2005-11-03 | Gross John N | System & method for monitoring web pages |
US8028038B2 (en) | 2004-05-05 | 2011-09-27 | Dryden Enterprises, Llc | Obtaining a playlist based on user profile matching |
US20050251455A1 (en) | 2004-05-10 | 2005-11-10 | Boesen Peter V | Method and system for purchasing access to a recording |
JP4581476B2 (en) | 2004-05-11 | 2010-11-17 | ソニー株式会社 | Information processing apparatus and method, and program |
US7689452B2 (en) | 2004-05-17 | 2010-03-30 | Lam Chuck P | System and method for utilizing social networks for collaborative filtering |
US20050267944A1 (en) | 2004-06-01 | 2005-12-01 | Microsoft Corporation | Email manager |
GB0413848D0 (en) | 2004-06-21 | 2004-07-21 | British Broadcasting Corp | Accessing broadcast media |
US20050286546A1 (en) | 2004-06-21 | 2005-12-29 | Arianna Bassoli | Synchronized media streaming between distributed peers |
US7437364B1 (en) | 2004-06-30 | 2008-10-14 | Google Inc. | System and method of accessing a document efficiently through multi-tier web caching |
US20070043766A1 (en) | 2005-08-18 | 2007-02-22 | Nicholas Frank C | Method and System for the Creating, Managing, and Delivery of Feed Formatted Content |
US7890871B2 (en) | 2004-08-26 | 2011-02-15 | Redlands Technology, Llc | System and method for dynamically generating, maintaining, and growing an online social network |
US8099482B2 (en) | 2004-10-01 | 2012-01-17 | E-Cast Inc. | Prioritized content download for an entertainment device |
CN101147378A (en) | 2004-10-06 | 2008-03-19 | 格雷斯诺特有限公司 | Network-based data collection, including local data attributes, enabling media management without requiring a network connection |
US7474959B2 (en) | 2004-10-08 | 2009-01-06 | Scenera Technologies, Llc | Method for providing recommendations using image, location data, and annotations |
US20060083119A1 (en) | 2004-10-20 | 2006-04-20 | Hayes Thomas J | Scalable system and method for predicting hit music preferences for an individual |
US20060100924A1 (en) | 2004-11-05 | 2006-05-11 | Apple Computer, Inc. | Digital media file with embedded sales/marketing information |
US7511858B2 (en) | 2004-12-14 | 2009-03-31 | Xerox Corporation | Method for printing a visual printer calibration test pattern |
US20060167991A1 (en) | 2004-12-16 | 2006-07-27 | Heikes Brian D | Buddy list filtering |
US20060143236A1 (en) | 2004-12-29 | 2006-06-29 | Bandwidth Productions Inc. | Interactive music playlist sharing system and methods |
WO2006075032A1 (en) | 2005-01-05 | 2006-07-20 | Musicstrands, S.A.U. | System and method for recommending multimedia elements |
US8230456B2 (en) | 2005-01-05 | 2012-07-24 | Yahoo! Inc. | Framework for delivering a plurality of content and providing for interaction with the same in a television environment |
US7676753B2 (en) | 2005-01-07 | 2010-03-09 | At&T Intellectual Property I, L.P. | Methods, systems, devices and computer program products for collecting and sharing selected personal data |
US20070288546A1 (en) | 2005-01-15 | 2007-12-13 | Outland Research, Llc | Groupwise collaborative suggestion moderation system |
US20070214182A1 (en) | 2005-01-15 | 2007-09-13 | Outland Research, Llc | Establishment-based media and messaging service |
US7693887B2 (en) | 2005-02-01 | 2010-04-06 | Strands, Inc. | Dynamic identification of a new set of media items responsive to an input mediaset |
US20060190616A1 (en) | 2005-02-04 | 2006-08-24 | John Mayerhofer | System and method for aggregating, delivering and sharing audio content |
US20060224757A1 (en) | 2005-03-15 | 2006-10-05 | Han Fang | System and method for streaming service replication a in peer-to-peer network |
JP4085284B2 (en) | 2005-03-24 | 2008-05-14 | ソニー株式会社 | Playback device |
US20060218187A1 (en) | 2005-03-25 | 2006-09-28 | Microsoft Corporation | Methods, systems, and computer-readable media for generating an ordered list of one or more media items |
US20090129671A1 (en) | 2005-03-31 | 2009-05-21 | Agency For Science, Technology And Research | Method and apparatus for image segmentation |
JP4670438B2 (en) | 2005-04-01 | 2011-04-13 | ソニー株式会社 | How to provide content and its playlist |
US8291095B2 (en) | 2005-04-20 | 2012-10-16 | Limelight Networks, Inc. | Methods and systems for content insertion |
US20060248209A1 (en) | 2005-04-27 | 2006-11-02 | Leo Chiu | Network system for facilitating audio and video advertising to end users through audio and video podcasts |
US8214264B2 (en) | 2005-05-02 | 2012-07-03 | Cbs Interactive, Inc. | System and method for an electronic product advisor |
WO2006122055A2 (en) | 2005-05-05 | 2006-11-16 | Ironport Systems, Inc. | Method of determining network addresses of senders of electronic mail messages |
US8584171B2 (en) | 2005-05-06 | 2013-11-12 | Starz Entertainment Group Llc | Local context navigation system |
US20060259355A1 (en) | 2005-05-11 | 2006-11-16 | Farouki Karim M | Methods and systems for recommending media |
US7686215B2 (en) | 2005-05-21 | 2010-03-30 | Apple Inc. | Techniques and systems for supporting podcasting |
US20060265637A1 (en) | 2005-05-21 | 2006-11-23 | Apple Computer, Inc. | Utilization of podcasts on portable media devices |
US7613736B2 (en) | 2005-05-23 | 2009-11-03 | Resonance Media Services, Inc. | Sharing music essence in a recommendation system |
WO2006126135A2 (en) | 2005-05-25 | 2006-11-30 | Koninklijke Philips Electronics N.V. | Play-list path interaction and visualisation |
US20060277148A1 (en) | 2005-06-06 | 2006-12-07 | Thackston James D | Payment system and method for on-line commerce operations |
US20060277098A1 (en) | 2005-06-06 | 2006-12-07 | Chung Tze D | Media playing system and method for delivering multimedia content with up-to-date and targeted marketing messages over a communication network |
US20060282776A1 (en) | 2005-06-10 | 2006-12-14 | Farmer Larry C | Multimedia and performance analysis tool |
US10510043B2 (en) | 2005-06-13 | 2019-12-17 | Skyword Inc. | Computer method and apparatus for targeting advertising |
US7890513B2 (en) | 2005-06-20 | 2011-02-15 | Microsoft Corporation | Providing community-based media item ratings to users |
US7756993B2 (en) | 2005-06-22 | 2010-07-13 | Sony Corporation | Reproducing apparatus, reproducing method, and reproducing program |
US20080270561A1 (en) | 2005-06-30 | 2008-10-30 | Cascada Mobile Corp. | System and Method of Recommendation and Provisioning of Mobile Device Related Content and Applications |
US7840178B2 (en) | 2005-07-12 | 2010-11-23 | Martin E. Hellman | FM broadcast system competitive with satellite radio |
US20070022437A1 (en) | 2005-07-19 | 2007-01-25 | David Gerken | Methods and apparatus for providing content and services coordinated with television content |
US7831913B2 (en) | 2005-07-29 | 2010-11-09 | Microsoft Corporation | Selection-based item tagging |
US7761399B2 (en) | 2005-08-19 | 2010-07-20 | Evree Llc | Recommendation networks for ranking recommendations using trust rating for user-defined topics and recommendation rating for recommendation sources |
US20070239724A1 (en) | 2005-09-14 | 2007-10-11 | Jorey Ramer | Mobile search services related to direct identifiers |
US20070198485A1 (en) | 2005-09-14 | 2007-08-23 | Jorey Ramer | Mobile search service discovery |
US7917148B2 (en) | 2005-09-23 | 2011-03-29 | Outland Research, Llc | Social musical media rating system and method for localized establishments |
US20070078714A1 (en) | 2005-09-30 | 2007-04-05 | Yahoo! Inc. | Automatically matching advertisements to media files |
US20070078832A1 (en) | 2005-09-30 | 2007-04-05 | Yahoo! Inc. | Method and system for using smart tags and a recommendation engine using smart tags |
US7793823B2 (en) | 2005-10-03 | 2010-09-14 | Realnetworks, Inc. | System and method for supplementing a radio playlist with local content |
US20070083553A1 (en) | 2005-10-12 | 2007-04-12 | Sten Minor | Apparatus and methods for handling multimedia content in an electronic device |
WO2007053797A2 (en) | 2005-10-14 | 2007-05-10 | Brown Reed M | Apparatus, system and method for managing listings |
US20070094083A1 (en) | 2005-10-25 | 2007-04-26 | Podbridge, Inc. | Matching ads to content and users for time and space shifted media network |
US20070094363A1 (en) | 2005-10-25 | 2007-04-26 | Podbridge, Inc. | Configuration for ad and content delivery in time and space shifted media network |
US10657538B2 (en) | 2005-10-25 | 2020-05-19 | Sony Interactive Entertainment LLC | Resolution of advertising rules |
US11004089B2 (en) | 2005-10-25 | 2021-05-11 | Sony Interactive Entertainment LLC | Associating media content files with advertisements |
US8676900B2 (en) | 2005-10-25 | 2014-03-18 | Sony Computer Entertainment America Llc | Asynchronous advertising placement based on metadata |
US20070118425A1 (en) | 2005-10-25 | 2007-05-24 | Podbridge, Inc. | User device agent for asynchronous advertising in time and space shifted media network |
US8856118B2 (en) | 2005-10-31 | 2014-10-07 | Qwest Communications International Inc. | Creation and transmission of rich content media |
EP1783632B1 (en) | 2005-11-08 | 2012-12-19 | Intel Corporation | Content recommendation method with user feedback |
US9697231B2 (en) | 2005-11-09 | 2017-07-04 | Cxense Asa | Methods and apparatus for providing virtual media channels based on media search |
CA2568477A1 (en) | 2005-11-18 | 2007-05-18 | R.A. Phillips Industries, Inc. | Power supply control system for a vehicle trailer |
US20070118657A1 (en) | 2005-11-22 | 2007-05-24 | Motorola, Inc. | Method and system for sharing podcast information |
US8392528B2 (en) | 2005-11-22 | 2013-03-05 | Motorola Mobility Llc | Architecture for sharing podcast information |
US7805129B1 (en) | 2005-12-27 | 2010-09-28 | Qurio Holdings, Inc. | Using device content information to influence operation of another device |
US20070162502A1 (en) | 2005-12-29 | 2007-07-12 | United Video Properties, Inc. | Media library in an interactive media guidance application |
US7856360B2 (en) | 2006-01-30 | 2010-12-21 | Hoozware, Inc. | System for providing a service to venues where people aggregate |
US20070244880A1 (en) | 2006-02-03 | 2007-10-18 | Francisco Martin | Mediaset generation system |
BRPI0621315A2 (en) | 2006-02-10 | 2011-12-06 | Strands Inc | dynamic interactive entertainment |
US9336333B2 (en) | 2006-02-13 | 2016-05-10 | Linkedin Corporation | Searching and reference checking within social networks |
US20070199014A1 (en) | 2006-02-22 | 2007-08-23 | E-Cast, Inc. | Consumer portal |
US7877353B2 (en) | 2006-03-13 | 2011-01-25 | Ebay Inc. | Peer-to-peer trading platform with relative reputation-based item search and buddy rating |
US8812580B2 (en) | 2006-03-15 | 2014-08-19 | Beats Music, Llc | Override of automatically shared meta-data of media |
US20070233736A1 (en) | 2006-03-28 | 2007-10-04 | Heyletsgo, Inc. | Method and system for social and leisure life management |
US7801500B2 (en) | 2006-04-11 | 2010-09-21 | Nokia Corporation | Electronic device and method therefor |
US20070265870A1 (en) | 2006-04-19 | 2007-11-15 | Nec Laboratories America, Inc. | Methods and systems for utilizing a time factor and/or asymmetric user behavior patterns for data analysis |
US20070264982A1 (en) | 2006-04-28 | 2007-11-15 | Nguyen John N | System and method for distributing media |
GB0702587D0 (en) | 2006-05-05 | 2007-03-21 | Omnifone Ltd | Digital rights management |
US7373054B2 (en) | 2006-05-17 | 2008-05-13 | Tyco Telecommunications (Us) Inc. | Optical cable shield layer connection |
US20080005179A1 (en) | 2006-05-22 | 2008-01-03 | Sonicswap, Inc. | Systems and methods for sharing digital media content |
US7797722B2 (en) | 2006-05-26 | 2010-09-14 | Sony Corporation | System and method for content delivery |
US7966362B2 (en) | 2006-06-21 | 2011-06-21 | Apple Inc. | Management of podcasts |
US8117545B2 (en) | 2006-07-05 | 2012-02-14 | Magnify Networks, Inc. | Hosted video discovery and publishing platform |
US7680959B2 (en) | 2006-07-11 | 2010-03-16 | Napo Enterprises, Llc | P2P network for providing real time media recommendations |
US7970922B2 (en) | 2006-07-11 | 2011-06-28 | Napo Enterprises, Llc | P2P real time media recommendations |
US8327266B2 (en) | 2006-07-11 | 2012-12-04 | Napo Enterprises, Llc | Graphical user interface system for allowing management of a media item playlist based on a preference scoring system |
US8059646B2 (en) | 2006-07-11 | 2011-11-15 | Napo Enterprises, Llc | System and method for identifying music content in a P2P real time recommendation network |
US7873641B2 (en) | 2006-07-14 | 2011-01-18 | Bea Systems, Inc. | Using tags in an enterprise search system |
US7801879B2 (en) | 2006-08-07 | 2010-09-21 | Chacha Search, Inc. | Method, system, and computer readable storage for affiliate group searching |
US20080046948A1 (en) | 2006-08-07 | 2008-02-21 | Apple Computer, Inc. | Creation, management and delivery of personalized media items |
US8135725B2 (en) | 2006-08-11 | 2012-03-13 | Yahoo! Inc. | System and method for providing tag-based relevance recommendations of bookmarks in a bookmark and tag database |
EP2052335A4 (en) | 2006-08-18 | 2010-11-17 | Sony Corp | System and method of selective media content access through a recommendation engine |
US8572169B2 (en) | 2006-08-28 | 2013-10-29 | Myspace, Llc | System, apparatus and method for discovery of music within a social network |
US7596597B2 (en) | 2006-08-31 | 2009-09-29 | Microsoft Corporation | Recommending contacts in a social network |
US20080091771A1 (en) | 2006-10-13 | 2008-04-17 | Microsoft Corporation | Visual representations of profiles for community interaction |
US20080147482A1 (en) | 2006-10-27 | 2008-06-19 | Ripl Corp. | Advertisement selection and propagation of advertisements within a social network |
US20080288588A1 (en) | 2006-11-01 | 2008-11-20 | Worldvuer, Inc. | Method and system for searching using image based tagging |
US8756333B2 (en) | 2006-11-22 | 2014-06-17 | Myspace Music Llc | Interactive multicast media service |
US8060827B2 (en) | 2006-11-30 | 2011-11-15 | Red Hat, Inc. | Method and system for preloading suggested content onto digital video recorder based on social recommendations |
US8943210B2 (en) | 2006-11-30 | 2015-01-27 | Red Hat, Inc. | Mastering music played among a plurality of users |
US8091032B2 (en) | 2006-11-30 | 2012-01-03 | Red Hat, Inc. | Automatic generation of content recommendations weighted by social network context |
US20080141136A1 (en) | 2006-12-12 | 2008-06-12 | Microsoft Corporation | Clipping Synchronization and Sharing |
US9697280B2 (en) | 2006-12-13 | 2017-07-04 | Quickplay Media, Inc. | Mediation and settlement for mobile media |
US7730216B1 (en) | 2006-12-14 | 2010-06-01 | Qurio Holdings, Inc. | System and method of sharing content among multiple social network nodes using an aggregation node |
US20080147711A1 (en) | 2006-12-19 | 2008-06-19 | Yahoo! Inc. | Method and system for providing playlist recommendations |
US9229933B2 (en) | 2006-12-19 | 2016-01-05 | International Business Machines Corporation | System, method and program for managing file downloads |
US8509754B2 (en) | 2006-12-29 | 2013-08-13 | United States Cellular Corporation | Distributing mobile-device applications |
US7738870B2 (en) | 2007-01-24 | 2010-06-15 | Control4 Corporation | Systems and methods for instant messaging using a control device |
US7751773B2 (en) | 2007-01-30 | 2010-07-06 | Sony Ericsson Mobile Communications Ab | Portable communication device having a media time controller |
US7802194B2 (en) | 2007-02-02 | 2010-09-21 | Sap Ag | Business query language |
US20080189336A1 (en) | 2007-02-05 | 2008-08-07 | Namemedia, Inc. | Creating and managing digital media content using contacts and relational information |
US20080187112A1 (en) | 2007-02-07 | 2008-08-07 | Tribal Shout!, Inc. | Method and system for delivering podcasts to communication devices |
US7739304B2 (en) | 2007-02-08 | 2010-06-15 | Yahoo! Inc. | Context-based community-driven suggestions for media annotation |
KR101346731B1 (en) | 2007-03-12 | 2014-01-03 | 삼성전자주식회사 | Method and apparatus for synchronizing feed information |
US8498628B2 (en) | 2007-03-27 | 2013-07-30 | Iocast Llc | Content delivery system and method |
US7787818B2 (en) | 2007-03-27 | 2010-08-31 | Iocast Llc | Customized content delivery system and method |
WO2008121967A2 (en) | 2007-03-30 | 2008-10-09 | Google Inc. | Interactive media display across devices |
US9224427B2 (en) | 2007-04-02 | 2015-12-29 | Napo Enterprises LLC | Rating media item recommendations using recommendation paths and/or media item usage |
US20080250067A1 (en) | 2007-04-06 | 2008-10-09 | Concert Technology Corporation | System and method for selectively identifying media items for play based on a recommender playlist |
US8832220B2 (en) | 2007-05-29 | 2014-09-09 | Domingo Enterprises, Llc | System and method for increasing data availability on a mobile device based on operating mode |
US20090049045A1 (en) | 2007-06-01 | 2009-02-19 | Concert Technology Corporation | Method and system for sorting media items in a playlist on a media device |
US7882111B2 (en) | 2007-06-01 | 2011-02-01 | Yahoo! Inc. | User interactive precision targeting principle |
US20080307463A1 (en) | 2007-06-09 | 2008-12-11 | Todd Beetcher | Systems and methods for searching and for displaying media content |
US20080307462A1 (en) | 2007-06-09 | 2008-12-11 | Todd Beetcher | Systems and methods for searching and for displaying media content |
US20080313541A1 (en) | 2007-06-14 | 2008-12-18 | Yahoo! Inc. | Method and system for personalized segmentation and indexing of media |
US20090006368A1 (en) | 2007-06-29 | 2009-01-01 | Microsoft Corporation | Automatic Video Recommendation |
US8751507B2 (en) | 2007-06-29 | 2014-06-10 | Amazon Technologies, Inc. | Recommendation system with multiple integrated recommenders |
JP2011504617A (en) | 2007-08-02 | 2011-02-10 | ソニー ビーエムジー ミュージック エンターテイメント | Method and apparatus for distributing digital content |
US20090042545A1 (en) | 2007-08-06 | 2009-02-12 | Tamir Avital | System and a method for unifying the social realities of the online internet and real world of the mobile phone |
US8275764B2 (en) | 2007-08-24 | 2012-09-25 | Google Inc. | Recommending media programs based on media program popularity |
US8239455B2 (en) | 2007-09-07 | 2012-08-07 | Siemens Aktiengesellschaft | Collaborative data and knowledge integration |
US8666525B2 (en) | 2007-09-10 | 2014-03-04 | Palo Alto Research Center Incorporated | Digital media player and method for facilitating music recommendation |
US20090076887A1 (en) | 2007-09-16 | 2009-03-19 | Nova Spivack | System And Method Of Collecting Market-Related Data Via A Web-Based Networking Environment |
US7769767B2 (en) | 2007-09-27 | 2010-08-03 | Domingo Enterprises, Llc | System and method for filtering content on a mobile device based on contextual tagging |
US20090094248A1 (en) | 2007-10-03 | 2009-04-09 | Concert Technology Corporation | System and method of prioritizing the downloading of media items in a media item recommendation network |
US7865522B2 (en) | 2007-11-07 | 2011-01-04 | Napo Enterprises, Llc | System and method for hyping media recommendations in a media recommendation system |
US9060034B2 (en) | 2007-11-09 | 2015-06-16 | Napo Enterprises, Llc | System and method of filtering recommenders in a media item recommendation system |
US20090132527A1 (en) | 2007-11-20 | 2009-05-21 | Samsung Electronics Co., Ltd. | Personalized video channels on social networks |
US20090177301A1 (en) | 2007-12-03 | 2009-07-09 | Codentity, Llc | Scalable system and method for an integrated digital media catalog, management and reproduction system |
US8375131B2 (en) | 2007-12-21 | 2013-02-12 | Yahoo! Inc. | Media toolbar and aggregated/distributed media ecosystem |
US8200602B2 (en) | 2009-02-02 | 2012-06-12 | Napo Enterprises, Llc | System and method for creating thematic listening experiences in a networked peer media recommendation environment |
-
2007
- 2007-06-01 US US11/757,219 patent/US20090049045A1/en not_active Abandoned
-
2010
- 2010-05-10 US US12/776,604 patent/US8983950B2/en not_active Expired - Fee Related
Patent Citations (99)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4870579A (en) * | 1987-10-01 | 1989-09-26 | Neonics, Inc. | System and method of predicting subjective reactions |
US5960437A (en) * | 1989-07-06 | 1999-09-28 | Krawchuk; Kenneth V. | System and method for storing and managing information |
US5963916A (en) * | 1990-09-13 | 1999-10-05 | Intouch Group, Inc. | Network apparatus and method for preview of music products and compilation of market data |
US5621456A (en) * | 1993-06-22 | 1997-04-15 | Apple Computer, Inc. | Methods and apparatus for audio-visual interface for the display of multiple program categories |
US6388714B1 (en) * | 1995-10-02 | 2002-05-14 | Starsight Telecast Inc | Interactive computer system for providing television schedule information |
US5956027A (en) * | 1995-12-12 | 1999-09-21 | At&T Corp | Method and apparatus for sharing a web page |
US6314420B1 (en) * | 1996-04-04 | 2001-11-06 | Lycos, Inc. | Collaborative/adaptive search engine |
US6195657B1 (en) * | 1996-09-26 | 2001-02-27 | Imana, Inc. | Software, method and apparatus for efficient categorization and recommendation of subjects according to multidimensional semantics |
US5771778A (en) * | 1996-10-15 | 1998-06-30 | Maclean, Iv; John A. | Marketing system |
US20010013009A1 (en) * | 1997-05-20 | 2001-08-09 | Daniel R. Greening | System and method for computer-based marketing |
US6134552A (en) * | 1997-10-07 | 2000-10-17 | Sap Aktiengesellschaft | Knowledge provider with logical hyperlinks |
US6587127B1 (en) * | 1997-11-25 | 2003-07-01 | Motorola, Inc. | Content player method and server with user profile |
US6654786B1 (en) * | 1998-04-30 | 2003-11-25 | Openwave Systems Inc. | Method and apparatus for informing wireless clients about updated information |
US6694482B1 (en) * | 1998-09-11 | 2004-02-17 | Sbc Technology Resources, Inc. | System and methods for an architectural framework for design of an adaptive, personalized, interactive content delivery system |
US20010021914A1 (en) * | 1998-09-18 | 2001-09-13 | Jacobi Jennifer A. | Personalized recommendations of items represented within a database |
US6317722B1 (en) * | 1998-09-18 | 2001-11-13 | Amazon.Com, Inc. | Use of electronic shopping carts to generate personal recommendations |
US6266649B1 (en) * | 1998-09-18 | 2001-07-24 | Amazon.Com, Inc. | Collaborative recommendations using item-to-item similarity mappings |
US6567797B1 (en) * | 1999-01-26 | 2003-05-20 | Xerox Corporation | System and method for providing recommendations based on multi-modal user clusters |
US6353823B1 (en) * | 1999-03-08 | 2002-03-05 | Intel Corporation | Method and system for using associative metadata |
US6498955B1 (en) * | 1999-03-19 | 2002-12-24 | Accenture Llp | Member preference control of an environment |
US6438579B1 (en) * | 1999-07-16 | 2002-08-20 | Agent Arts, Inc. | Automated content and collaboration-based system and methods for determining and providing content recommendations |
US6636836B1 (en) * | 1999-07-21 | 2003-10-21 | Iwingz Co., Ltd. | Computer readable medium for recommending items with multiple analyzing components |
US6587850B2 (en) * | 1999-11-02 | 2003-07-01 | Claritech Corporation | Method and apparatus for profile score threshold setting and updating |
US6757691B1 (en) * | 1999-11-09 | 2004-06-29 | America Online, Inc. | Predicting content choices by searching a profile database |
US20030046399A1 (en) * | 1999-11-10 | 2003-03-06 | Jeffrey Boulter | Online playback system with community bias |
US6526411B1 (en) * | 1999-11-15 | 2003-02-25 | Sean Ward | System and method for creating dynamic playlists |
US6609253B1 (en) * | 1999-12-30 | 2003-08-19 | Bellsouth Intellectual Property Corporation | Method and system for providing interactive media VCR control |
US6912528B2 (en) * | 2000-01-18 | 2005-06-28 | Gregg S. Homer | Rechargeable media distribution and play system |
US20030018799A1 (en) * | 2000-01-24 | 2003-01-23 | Aviv Eyal | System and method for media search and playback |
US20010025259A1 (en) * | 2000-03-02 | 2001-09-27 | Pierre Rouchon | Radio station digital music distribution system and method |
US20030055657A1 (en) * | 2000-04-20 | 2003-03-20 | Masanao Yoshida | Decoder |
US20030005074A1 (en) * | 2000-04-25 | 2003-01-02 | Herz Frederick S.M. | Method of combining shared buffers of continuous digital media data with media delivery scheduling |
US20030229537A1 (en) * | 2000-05-03 | 2003-12-11 | Dunning Ted E. | Relationship discovery engine |
US20020082901A1 (en) * | 2000-05-03 | 2002-06-27 | Dunning Ted E. | Relationship discovery engine |
US20030055516A1 (en) * | 2000-06-29 | 2003-03-20 | Dan Gang | Using a system for prediction of musical preferences for the distribution of musical content over cellular networks |
US20030089218A1 (en) * | 2000-06-29 | 2003-05-15 | Dan Gang | System and method for prediction of musical preferences |
US6662231B1 (en) * | 2000-06-30 | 2003-12-09 | Sei Information Technology | Method and system for subscriber-based audio service over a communication network |
US20030115167A1 (en) * | 2000-07-11 | 2003-06-19 | Imran Sharif | Web browser implemented in an Internet appliance |
US20020052873A1 (en) * | 2000-07-21 | 2002-05-02 | Joaquin Delgado | System and method for obtaining user preferences and providing user recommendations for unseen physical and information goods and services |
US6801909B2 (en) * | 2000-07-21 | 2004-10-05 | Triplehop Technologies, Inc. | System and method for obtaining user preferences and providing user recommendations for unseen physical and information goods and services |
US20020052207A1 (en) * | 2000-08-07 | 2002-05-02 | Hunzinger Jason F. | Context tags for context-aware computer programs |
US20020052674A1 (en) * | 2000-08-23 | 2002-05-02 | Ting-Mao Chang | Continuous local information delivery system and method |
US6615208B1 (en) * | 2000-09-01 | 2003-09-02 | Telcordia Technologies, Inc. | Automatic recommendation of products using latent semantic indexing of content |
US20040088271A1 (en) * | 2000-10-10 | 2004-05-06 | Damon Cleckler | Media type identification |
US6629104B1 (en) * | 2000-11-22 | 2003-09-30 | Eastman Kodak Company | Method for adding personalized metadata to a collection of digital images |
US20040254911A1 (en) * | 2000-12-22 | 2004-12-16 | Xerox Corporation | Recommender system and method |
US20020087382A1 (en) * | 2001-01-03 | 2002-07-04 | Tiburcio Vincio B. | Method and system for assigning and tracking tasks, such as under an electronic auction |
US20020103796A1 (en) * | 2001-01-31 | 2002-08-01 | Sonicblue, Inc. | Method for parametrically sorting music files |
US20020165793A1 (en) * | 2001-02-01 | 2002-11-07 | Brand Reon Johannes | Method and arrangement for facilitating the sharing of content items |
US20020108112A1 (en) * | 2001-02-02 | 2002-08-08 | Ensequence, Inc. | System and method for thematically analyzing and annotating an audio-visual sequence |
US20020116533A1 (en) * | 2001-02-20 | 2002-08-22 | Holliman Matthew J. | System for providing a multimedia peer-to-peer computing platform |
US20020138836A1 (en) * | 2001-03-23 | 2002-09-26 | Koninklijke Philips Electronics N.V. | Method and apparatus for recommending television programming through a celebrity or using a celebrity profile |
US20030014407A1 (en) * | 2001-04-11 | 2003-01-16 | Green Arrow Media, Inc. | System and method for making media recommendations |
US6670537B2 (en) * | 2001-04-20 | 2003-12-30 | Sony Corporation | Media player for distribution of music samples |
US6757517B2 (en) * | 2001-05-10 | 2004-06-29 | Chin-Chi Chang | Apparatus and method for coordinated music playback in wireless ad-hoc networks |
US20020178057A1 (en) * | 2001-05-10 | 2002-11-28 | International Business Machines Corporation | System and method for item recommendations |
US7296032B1 (en) * | 2001-05-17 | 2007-11-13 | Fotiva, Inc. | Digital media organization and access |
US20020194325A1 (en) * | 2001-05-30 | 2002-12-19 | Mazen Chmaytelli | Method and apparatus for individually estimating time required to download application programs to remote modules over wireless network |
US20030001907A1 (en) * | 2001-06-28 | 2003-01-02 | Nokia Corporation | Method and apparatus for scrollable cross-point navigation in a user interface |
US20030153338A1 (en) * | 2001-07-24 | 2003-08-14 | Herz Frederick S. M. | Autoband |
US20030135513A1 (en) * | 2001-08-27 | 2003-07-17 | Gracenote, Inc. | Playlist generation, delivery and navigation |
US20040252604A1 (en) * | 2001-09-10 | 2004-12-16 | Johnson Lisa Renee | Method and apparatus for creating an indexed playlist in a digital audio data player |
US20030066068A1 (en) * | 2001-09-28 | 2003-04-03 | Koninklijke Philips Electronics N.V. | Individual recommender database using profiles of others |
US20040215793A1 (en) * | 2001-09-30 | 2004-10-28 | Ryan Grant James | Personal contact network |
US20030069806A1 (en) * | 2001-10-08 | 2003-04-10 | Konomi Shin?Apos;Ichi | System and method for sharing needs and information using physical entities |
US20030084151A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Web-based imaging service providing reservation |
US20030084086A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Web-based imaging service enabling jobs to be interrupted gracefully |
US20030084044A1 (en) * | 2001-10-30 | 2003-05-01 | Simpson Shell S. | Configurable web-based imaging service that prevents time consuming jobs from printing |
US20030149612A1 (en) * | 2001-10-31 | 2003-08-07 | International Business Machines Corporation | Enabling a recommendation system to provide user-to-user recommendations |
US20030097186A1 (en) * | 2001-11-13 | 2003-05-22 | Koninklijke Philips Electronics N.V | Method and apparatus for generating a stereotypical profile for recommending items of interest using feature-based clustering |
US20040019497A1 (en) * | 2001-12-04 | 2004-01-29 | Volk Andrew R. | Method and system for providing listener-requested music over a network |
US20030160770A1 (en) * | 2002-02-25 | 2003-08-28 | Koninklijke Philips Electronics N.V. | Method and apparatus for an adaptive audio-video program recommendation system |
US20030191753A1 (en) * | 2002-04-08 | 2003-10-09 | Michael Hoch | Filtering contents using a learning mechanism |
US20030232614A1 (en) * | 2002-06-15 | 2003-12-18 | Squibbs Robert Francis | Wireless communication cost prediction for mobile device |
US20030237093A1 (en) * | 2002-06-19 | 2003-12-25 | Marsh David J. | Electronic program guide systems and methods for handling multiple users |
US20030236582A1 (en) * | 2002-06-25 | 2003-12-25 | Lee Zamir | Selection of items based on user reactions |
US20040003392A1 (en) * | 2002-06-26 | 2004-01-01 | Koninklijke Philips Electronics N.V. | Method and apparatus for finding and updating user group preferences in an entertainment system |
US20040034441A1 (en) * | 2002-08-16 | 2004-02-19 | Malcolm Eaton | System and method for creating an index of audio tracks |
US20030149581A1 (en) * | 2002-08-28 | 2003-08-07 | Imran Chaudhri | Method and system for providing intelligent network content delivery |
US20040073919A1 (en) * | 2002-09-26 | 2004-04-15 | Srinivas Gutta | Commercial recommender |
US20040107821A1 (en) * | 2002-10-03 | 2004-06-10 | Polyphonic Human Media Interface, S.L. | Method and system for music recommendation |
US20040091235A1 (en) * | 2002-11-07 | 2004-05-13 | Srinivas Gutta | Tracking of partially viewed shows so that they can be marked for deletion when a personal video recorder runs out of space |
US20040128286A1 (en) * | 2002-11-18 | 2004-07-01 | Pioneer Corporation | Music searching method, music searching device, and music searching program |
US20040186733A1 (en) * | 2002-12-13 | 2004-09-23 | Stephen Loomis | Stream sourcing content delivery system |
US20040133908A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040133914A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040133657A1 (en) * | 2003-01-03 | 2004-07-08 | Broadq, Llc | Digital media system and method therefor |
US20040162783A1 (en) * | 2003-01-31 | 2004-08-19 | Gross John N. | Media queue replenisher |
US20040162830A1 (en) * | 2003-02-18 | 2004-08-19 | Sanika Shirwadkar | Method and system for searching location based information on a mobile device |
US20040181540A1 (en) * | 2003-03-13 | 2004-09-16 | Younghee Jung | System and method for the provision of socially-relevant recommendations |
US20040199527A1 (en) * | 2003-03-17 | 2004-10-07 | Xerox Corporation. | System and method for providing usage metrics of digital content |
US20040224638A1 (en) * | 2003-04-25 | 2004-11-11 | Apple Computer, Inc. | Media player system |
US20040216108A1 (en) * | 2003-04-25 | 2004-10-28 | Apple Computer, Inc. | Network-based purchase and distribution of media in accordance with priorities |
US7509291B2 (en) * | 2003-10-17 | 2009-03-24 | Stamps.Com Inc. | Formatting value-bearing item indicia |
US7590546B2 (en) * | 2003-10-22 | 2009-09-15 | Chuang Thomas C | System and method for renting or purchasing goods via a communications network |
US7614006B2 (en) * | 2005-02-11 | 2009-11-03 | International Business Machines Corporation | Methods and apparatus for implementing inline controls for transposing rows and columns of computer-based tables |
US20060195512A1 (en) * | 2005-02-28 | 2006-08-31 | Yahoo! Inc. | System and method for playlist management and distribution |
US7720871B2 (en) * | 2005-02-28 | 2010-05-18 | Yahoo! Inc. | Media management system and method |
US7548915B2 (en) * | 2005-09-14 | 2009-06-16 | Jorey Ramer | Contextual mobile content placement on a mobile communication facility |
Cited By (70)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120209962A1 (en) * | 2000-01-24 | 2012-08-16 | Aviv Eyal | Streaming media search and playback system |
US9547650B2 (en) | 2000-01-24 | 2017-01-17 | George Aposporos | System for sharing and rating streaming media playlists |
US9405753B2 (en) | 2000-01-24 | 2016-08-02 | George Aposporos | Dynamic ratings-based streaming media playback system |
US10318647B2 (en) | 2000-01-24 | 2019-06-11 | Bluebonnet Internet Media Services, Llc | User input-based play-list generation and streaming media playback system |
US9779095B2 (en) | 2000-01-24 | 2017-10-03 | George Aposporos | User input-based play-list generation and playback system |
US8782194B2 (en) * | 2000-01-24 | 2014-07-15 | George Aposporos | Streaming media search and playback system |
US20080319833A1 (en) * | 2006-07-11 | 2008-12-25 | Concert Technology Corporation | P2p real time media recommendations |
US7970922B2 (en) * | 2006-07-11 | 2011-06-28 | Napo Enterprises, Llc | P2P real time media recommendations |
US8422490B2 (en) | 2006-07-11 | 2013-04-16 | Napo Enterprises, Llc | System and method for identifying music content in a P2P real time recommendation network |
US8434024B2 (en) | 2007-04-05 | 2013-04-30 | Napo Enterprises, Llc | System and method for automatically and graphically associating programmatically-generated media item recommendations related to a user's socially recommended media items |
US9164993B2 (en) | 2007-06-01 | 2015-10-20 | Napo Enterprises, Llc | System and method for propagating a media item recommendation message comprising recommender presence information |
US8285776B2 (en) | 2007-06-01 | 2012-10-09 | Napo Enterprises, Llc | System and method for processing a received media item recommendation message comprising recommender presence information |
US9037632B2 (en) | 2007-06-01 | 2015-05-19 | Napo Enterprises, Llc | System and method of generating a media item recommendation message with recommender presence information |
US9275055B2 (en) | 2007-06-01 | 2016-03-01 | Napo Enterprises, Llc | Method and system for visually indicating a replay status of media items on a media device |
US9448688B2 (en) | 2007-06-01 | 2016-09-20 | Napo Enterprises, Llc | Visually indicating a replay status of media items on a media device |
US8983950B2 (en) | 2007-06-01 | 2015-03-17 | Napo Enterprises, Llc | Method and system for sorting media items in a playlist on a media device |
US8954883B2 (en) | 2007-06-01 | 2015-02-10 | Napo Enterprises, Llc | Method and system for visually indicating a replay status of media items on a media device |
US8839141B2 (en) | 2007-06-01 | 2014-09-16 | Napo Enterprises, Llc | Method and system for visually indicating a replay status of media items on a media device |
US9060034B2 (en) | 2007-11-09 | 2015-06-16 | Napo Enterprises, Llc | System and method of filtering recommenders in a media item recommendation system |
US9164994B2 (en) | 2007-11-26 | 2015-10-20 | Abo Enterprises, Llc | Intelligent default weighting process for criteria utilized to score media content items |
US8874574B2 (en) | 2007-11-26 | 2014-10-28 | Abo Enterprises, Llc | Intelligent default weighting process for criteria utilized to score media content items |
US8224856B2 (en) | 2007-11-26 | 2012-07-17 | Abo Enterprises, Llc | Intelligent default weighting process for criteria utilized to score media content items |
US8396951B2 (en) | 2007-12-20 | 2013-03-12 | Napo Enterprises, Llc | Method and system for populating a content repository for an internet radio service based on a recommendation network |
US9734507B2 (en) | 2007-12-20 | 2017-08-15 | Napo Enterprise, Llc | Method and system for simulating recommendations in a social network for an offline user |
US9071662B2 (en) | 2007-12-20 | 2015-06-30 | Napo Enterprises, Llc | Method and system for populating a content repository for an internet radio service based on a recommendation network |
US8060525B2 (en) | 2007-12-21 | 2011-11-15 | Napo Enterprises, Llc | Method and system for generating media recommendations in a distributed environment based on tagging play history information with location information |
US8886666B2 (en) | 2007-12-21 | 2014-11-11 | Lemi Technology, Llc | Method and system for generating media recommendations in a distributed environment based on tagging play history information with location information |
US8117193B2 (en) | 2007-12-21 | 2012-02-14 | Lemi Technology, Llc | Tunersphere |
US9275138B2 (en) | 2007-12-21 | 2016-03-01 | Lemi Technology, Llc | System for generating media recommendations in a distributed environment based on seed information |
US8874554B2 (en) | 2007-12-21 | 2014-10-28 | Lemi Technology, Llc | Turnersphere |
US8983937B2 (en) | 2007-12-21 | 2015-03-17 | Lemi Technology, Llc | Tunersphere |
US9552428B2 (en) | 2007-12-21 | 2017-01-24 | Lemi Technology, Llc | System for generating media recommendations in a distributed environment based on seed information |
US8577874B2 (en) | 2007-12-21 | 2013-11-05 | Lemi Technology, Llc | Tunersphere |
US10229120B1 (en) * | 2008-08-08 | 2019-03-12 | Amazon Technologies, Inc. | Group control of networked media play |
US20100037752A1 (en) * | 2008-08-13 | 2010-02-18 | Emil Hansson | Music player connection system for enhanced playlist selection |
US7786367B2 (en) * | 2008-08-13 | 2010-08-31 | Sony Ericsson Mobile Communications Ab | Music player connection system for enhanced playlist selection |
US9367808B1 (en) | 2009-02-02 | 2016-06-14 | Napo Enterprises, Llc | System and method for creating thematic listening experiences in a networked peer media recommendation environment |
US8200602B2 (en) | 2009-02-02 | 2012-06-12 | Napo Enterprises, Llc | System and method for creating thematic listening experiences in a networked peer media recommendation environment |
US9824144B2 (en) | 2009-02-02 | 2017-11-21 | Napo Enterprises, Llc | Method and system for previewing recommendation queues |
US20120023403A1 (en) * | 2010-07-21 | 2012-01-26 | Tilman Herberger | System and method for dynamic generation of individualized playlists according to user selection of musical features |
US20120041972A1 (en) * | 2010-07-22 | 2012-02-16 | Myspace, Inc. | Metadata ingestion to stream customization |
US8903850B2 (en) * | 2010-07-22 | 2014-12-02 | Myspace Llc | Metadata ingestion to stream customization |
US9015109B2 (en) | 2011-11-01 | 2015-04-21 | Lemi Technology, Llc | Systems, methods, and computer readable media for maintaining recommendations in a media recommendation system |
US8909667B2 (en) | 2011-11-01 | 2014-12-09 | Lemi Technology, Llc | Systems, methods, and computer readable media for generating recommendations in a media recommendation system |
US8825668B2 (en) * | 2011-11-16 | 2014-09-02 | Google Inc. | Method and apparatus for updating song playlists based on received user ratings |
US20140032537A1 (en) * | 2012-07-30 | 2014-01-30 | Ajay Shekhawat | Apparatus, system, and method for music identification |
US8903778B2 (en) * | 2012-10-17 | 2014-12-02 | Yahoo! Inc. | Visible personalization |
US20140108425A1 (en) * | 2012-10-17 | 2014-04-17 | Yahoo! Inc. | Visible personalization |
US10623461B2 (en) | 2012-10-22 | 2020-04-14 | Apple Inc. | Systems and methods for distributing a playlist within a music service |
US20170097993A1 (en) * | 2012-10-22 | 2017-04-06 | Beats Music, Llc | Systems and methods for distributing a playlist within a music service |
US20140173070A1 (en) * | 2012-12-13 | 2014-06-19 | Microsoft Corporation | Updating of digital content buffering order |
US20140298217A1 (en) * | 2013-03-28 | 2014-10-02 | Nokia Corporation | Method and apparatus for providing a drawer-based user interface for content access or recommendation |
US9418346B2 (en) * | 2013-03-28 | 2016-08-16 | Nokia Technologies Oy | Method and apparatus for providing a drawer-based user interface for content access or recommendation |
US20150121220A1 (en) * | 2013-10-24 | 2015-04-30 | Samsung Electronics Co., Ltd. | Terminal, method for displaying screen thereof, and computer readable recording medium |
US20150142924A1 (en) * | 2013-11-21 | 2015-05-21 | Samsung Electronics Co., Ltd. | Method for providing contents and electronic device using the same |
US20160070789A1 (en) * | 2014-09-05 | 2016-03-10 | Next Audio Labs, Llc | System, method and software product for sorting audio data and playlist cloning |
US10659504B2 (en) * | 2016-02-19 | 2020-05-19 | Spotify Ab | System and method for client-initiated playlist shuffle in a media content environment |
US11722539B2 (en) | 2016-02-19 | 2023-08-08 | Spotify Ab | System and method for client-initiated playlist shuffle in a media content environment |
US20170244770A1 (en) * | 2016-02-19 | 2017-08-24 | Spotify Ab | System and method for client-initiated playlist shuffle in a media content environment |
US20180025005A1 (en) * | 2016-07-22 | 2018-01-25 | Rhapsody International Inc. | Media preference affinity recommendation systems and methods |
US9898466B2 (en) * | 2016-07-22 | 2018-02-20 | Rhapsody International Inc. | Media preference affinity recommendation systems and methods |
US20180189286A1 (en) * | 2016-07-22 | 2018-07-05 | Rhapsody International Inc. | Software preference affinity recommendation systems and methods |
US10579667B2 (en) * | 2016-07-22 | 2020-03-03 | Rhapsody International Inc. | Software preference affinity recommendation systems and methods |
CN106792175A (en) * | 2016-12-22 | 2017-05-31 | 深圳Tcl数字技术有限公司 | Program data processing method and system |
US10412183B2 (en) * | 2017-02-24 | 2019-09-10 | Spotify Ab | Methods and systems for personalizing content in accordance with divergences in a user's listening history |
US11042583B2 (en) * | 2017-06-19 | 2021-06-22 | Reliance Jio Infocomm Limited | Systems and methods for real-time multi-party recommendation in a peer to peer communication |
US20180365239A1 (en) * | 2017-06-19 | 2018-12-20 | Reliance Jio Infocomm Limited | Systems and methods for real-time multi-party recommendation in a peer to peer communication |
US10536749B2 (en) | 2018-03-30 | 2020-01-14 | Rhapsody International, Inc. | Adaptive predictive caching systems and methods |
US11438654B2 (en) | 2018-03-30 | 2022-09-06 | Rhapsody International Inc. | Geographically tailored content management systems and methods |
CN113515693A (en) * | 2020-10-09 | 2021-10-19 | 苏州淘喜网络科技有限公司 | City scenic spot wisdom recommendation system |
Also Published As
Publication number | Publication date |
---|---|
US20120042245A1 (en) | 2012-02-16 |
US8983950B2 (en) | 2015-03-17 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US9448688B2 (en) | Visually indicating a replay status of media items on a media device | |
US8805831B2 (en) | Scoring and replaying media items | |
US8983950B2 (en) | Method and system for sorting media items in a playlist on a media device | |
US7680959B2 (en) | P2P network for providing real time media recommendations | |
US10469549B2 (en) | Device for participating in a network for sharing media consumption activity | |
US7970922B2 (en) | P2P real time media recommendations | |
US8583791B2 (en) | Maintaining a minimum level of real time media recommendations in the absence of online friends | |
US9292179B2 (en) | System and method for identifying music content in a P2P real time recommendation network | |
US8601003B2 (en) | System and method for playlist generation based on similarity data | |
US8527877B2 (en) | Systems and methods to select media content | |
US20120041967A1 (en) | System and method for associating a media recommendation with a media item | |
US20090138457A1 (en) | Grouping and weighting media categories with time periods | |
US20090077499A1 (en) | System and method for assigning user preference settings for a category, and in particular a media category | |
EP2161668A1 (en) | System and method for playlist generation based on similarity data |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AS | Assignment |
Owner name: CONCERT TECHNOLOGY CORPORATION, NORTH CAROLINA Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:ASKEY, WAYMEN J.;SVENDSEN, HUGH;REEL/FRAME:019371/0289 Effective date: 20070601 |
|
AS | Assignment |
Owner name: NAPO ENTERPRISES, LLC, DELAWARE Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CONCERT TECHNOLOGY CORPORATION;REEL/FRAME:022434/0671 Effective date: 20090121 Owner name: NAPO ENTERPRISES, LLC,DELAWARE Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:CONCERT TECHNOLOGY CORPORATION;REEL/FRAME:022434/0671 Effective date: 20090121 |
|
STCB | Information on status: application discontinuation |
Free format text: ABANDONED -- AFTER EXAMINER'S ANSWER OR BOARD OF APPEALS DECISION |
|
AS | Assignment |
Owner name: CONCERT TECHNOLOGY CORPORATION, NEW HAMPSHIRE Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:NAPO ENTERPRISES, LLC;REEL/FRAME:051457/0503 Effective date: 20191203 |