US20120071996A1 - Embedded media recommendations - Google Patents
Embedded media recommendations Download PDFInfo
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- US20120071996A1 US20120071996A1 US13/305,871 US201113305871A US2012071996A1 US 20120071996 A1 US20120071996 A1 US 20120071996A1 US 201113305871 A US201113305871 A US 201113305871A US 2012071996 A1 US2012071996 A1 US 2012071996A1
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- recommendations
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- media player
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- portable media
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
- G06Q30/0202—Market predictions or forecasting for commercial activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
- G06F16/48—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
Definitions
- the present invention relates to generating media recommendations such as music recommendations, and more particularly relates to embedding media recommendations on a portable media player.
- the present invention provides a system and method for embedding recommendations on a portable media player.
- recommendations for media presentations stored or to be stored on the portable media player are generated by a recommendation engine hosted by an external system such as, for example, a user's personal computer or a network server.
- the media presentations are songs, and the recommendations include a number of recommended songs for each song stored or to be stored on the portable media player.
- the recommendations may be limited to the media presentations stored on the portable media player or otherwise accessible to the portable media player.
- the recommendations are stored, or embedded, on the portable media player.
- the recommendations are stored in an application file or light-weight database stored on the portable media player.
- the recommendations are stored as metadata within corresponding media files stored on the portable media player. Thereafter, the portable media player may use the recommendations to facilitate playback of media content on the portable media player.
- a user system such as a personal computer hosts a media collection of a user associated with the user system and the portable media player.
- the recommendation engine is hosted by the user system and operates to generate recommendations for each media presentation in the user's media collection. Thereafter, when media presentations are transferred to the portable media player during a synchronization process, the recommendations, or a filtered version thereof, are also transferred to the portable media player.
- the recommendations may be filtered such that the recommendations transferred to the portable media player are limited to the media presentations stored on the portable media player and, optionally, to media presentations accessible to the portable media player via a network service.
- a user system such as a personal computer hosts a media collection of a user associated with the user system and the portable media player.
- the recommendation engine is hosted by a server communicatively coupled to the user system via a network.
- the recommendation engine generates recommendations and provides the recommendations to the user system. Thereafter, when media presentations are transferred to the portable media player during a synchronization process, the recommendations, or a filtered version thereof, are also transferred to the portable media player.
- the recommendations may be filtered such that the recommendations transferred to the portable media player are limited to the media presentations stored on the portable media player and, optionally, to media presentations accessible to the portable media player via a network service.
- the portable media player has network access to a server hosting the recommendation engine.
- the recommendation engine generates recommendations and provides the recommendations to the portable media player.
- the recommendations may be limited to the media presentations stored on the portable media player, to media presentations available via a network service, or to both media presentations stored on the portable media player and media presentations available via a network service.
- FIG. 1 illustrates a system for embedding recommendations on a portable media player according to a first embodiment of the present invention
- FIG. 2 illustrates the operation of the system of FIG. 1 according to one embodiment of the present invention
- FIG. 3 illustrates one embodiment of the recommendation scheme of the present invention
- FIG. 4 illustrates a system for embedding recommendations on a portable media player according to a second embodiment of the present invention
- FIG. 5 illustrates the operation of the system of FIG. 4 according to one embodiment of the present invention
- FIG. 6 illustrates a system for embedding recommendations on a portable media player according to a third embodiment of the present invention
- FIG. 7 illustrates the operation of the system of FIG. 6 according to one embodiment of the present invention
- FIG. 8 illustrates a system for embedding recommendations on a portable media player according to a fourth embodiment of the present invention
- FIG. 9 illustrates the operation of the system of FIG. 8 according to one embodiment of the present invention.
- FIG. 10 is a block diagram of an exemplary embodiment of the user system of FIGS. 1 and 2 ;
- FIG. 11 is a block diagram of an exemplary embodiment of the user system 12 ′ of FIGS. 4-7 ;
- FIG. 12 is a block diagram of an exemplary embodiment of the PMP 14 of FIGS. 1 , 2 , 4 , and 5 ;
- FIG. 13 is a block diagram of an exemplary embodiment of the PMP 14 ′ of FIGS. 6-9 ;
- FIG. 14 is a block diagram of an exemplary embodiment of the server 28 of FIGS. 4-9 .
- the present invention relates to a system and method for embedding recommendations on a portable media player.
- recommendations for media presentations stored or to be stored on the portable media player are generated by a recommendation engine hosted by an external system such as, for example, a user's personal computer or a network server.
- the media presentations are songs
- the recommendations include a number of recommended songs for each song stored or to be stored on the portable media player.
- the recommendations may be limited to the media presentations stored on the portable media player or otherwise accessible to the portable media player.
- the recommendations are stored, or embedded, on the portable media player. Thereafter, the portable media player may use the recommendations to facilitate playback of media content on the portable media player.
- FIG. 1 illustrates a system 10 for embedding recommendations on a portable media player according to a first embodiment of the present invention.
- the system 10 includes a user system 12 and a portable media player (PMP) 14 , where the user system 12 and PMP 14 are communicatively coupled during a synchronization process, as described below.
- the user system 12 may be, for example, a personal computer.
- the user system 12 includes a recommendation engine 16 , a music collection 18 , and recommendations 20 .
- the recommendation engine 16 may be implemented in software, hardware, or a combination of software and hardware.
- the music collection 18 includes a number of digital song files stored in one or more digital storage units within or associated with the user system 12 .
- the recommendation engine 16 operates to generate the recommendations 20 for each song in the music collection 18 . More specifically, for each particular song, the recommendation engine 16 generates recommendations 20 identifying other songs that are similar to that song. In this embodiment, the recommended songs are limited to other songs in the music collection 18 . However, as discussed below, the present invention is not limited thereto.
- the recommendations 20 include information identifying a number of recommended songs for each song in the music collection 18 .
- the information identifying the recommended songs may be any information capable of identifying the recommended songs such as, for example, Globally Unique Identifiers (GUIDs), titles of the songs, or the like.
- the recommendations 20 may be stored in an application file, light-weight database, or the like. Note that while the following discussion focuses on an application file, it is to be understood that a light-weight database or the like may be used instead. Alternatively, for each particular song, the recommendations 20 for that song may be stored as metadata within the song file.
- the PMP 14 may be a portable media player such as, for example, a Motion Pictures Expert Group (MPEG) Layer 3 (MP3) player, an Apple iPod portable media player, a MusicGremlin portable media player, or the like.
- the PMP 14 includes a media playback function 22 , songs 24 , and recommendations 26 .
- the media playback function 22 may be implemented in hardware, software, or a combination of hardware and software and operates to provide playback of the songs 24 stored on the PMP 14 .
- the songs 24 are stored in one or more digital storage units within the PMP 14 .
- the digital storage units may be, for example, hard-disc drives, internal memory, removable memory cards, optical storage devices, or the like.
- the songs 24 may be songs transferred to the PMP 14 from the user system 12 during a synchronization process. Additionally, as discussed below, the songs 24 may include songs obtained from a subscription-based music service or an e-commerce service via a network.
- the recommendations 26 include information identifying recommended songs for each of the songs stored on the PMP 14 . As discussed below, the recommendations 26 are either the recommendations 20 generated by the recommendation engine 16 or a filtered version thereof. Again, the recommendations 26 may be stored as an application file, light-weight database, or the like. Alternatively, for each of the songs 24 , the recommendations 26 for the song may be stored as metadata within the corresponding song file.
- FIG. 2 illustrates the operation of the system 10 of FIG. 1 according to one embodiment of the present invention.
- the recommendation engine 16 of the user system 12 generates recommendations for the songs in the user's music collection 18 (step 100 ).
- the recommendations are limited to other songs in the music collection 18
- the recommendation engine 16 generates recommendations for each of the songs in the music collection 18 prior to the selection of songs to transfer to the PMP 14 .
- the recommendations may thereafter be updated when, for example, new songs are added to the music collection 18 .
- the recommendation engine 16 may identify other songs from the music collection 18 to recommend for each song using any known music recommendation scheme.
- the recommendation engine 16 may consider metadata such as, but not limited to, genre, artist, album, release date and/or song attributes such as, but not limited to, beats-per-minute and the like.
- Exemplary music recommendation schemes are described in U.S. patent application Ser. No. 11/471,797, entitled HISTORICAL MEDIA RECOMMENDATION SERVICE, filed Jun. 21, 2006 and U.S. Patent Application Publication No. 2004/0107821, entitled METHOD AND SYSTEM FOR MUSIC RECOMMENDATION, published Jun. 10, 2004, both of which are hereby incorporated herein by reference in their entireties.
- the user system 12 then provides select songs from the music collection 18 and the recommendations 20 , or a filtered version of the recommendations 20 , to the PMP 14 during a synchronization process (step 102 ).
- the select songs and recommendations are stored by the PMP 14 as the songs 24 and recommendations 26 .
- the select songs provided to the PMP 14 are preferably selected by the user of the user system 12 for transfer to the PMP 14 .
- the recommendations 20 for the songs in the music collection 18 may be stored in an application file or stored as metadata within the song files. If the recommendations 20 for the songs in the music collection 18 are stored in an application file, the user system 12 may provide the application file including the recommendations 20 for all of the songs in the music collection 18 to the PMP 14 to be stored as the recommendations 26 on the PMP 14 . Thereafter, the PMP 14 may ignore the recommendations for songs not transferred to or already stored on the PMP 14 . Further, for songs that are stored on or to be transferred to the PMP 14 , the PMP 14 may further ignore recommendations identifying songs that are not stored on the PMP 14 .
- the user system 12 may filter the recommendations 20 in the application file prior to transfer to the PMP 14 to provide the recommendations 26 for the PMP 14 .
- the recommendations 20 may be filtered in order to limit the recommendations 26 to the songs 24 stored on the PMP 14 . More specifically, the recommendations 20 may be filtered to remove the recommendations 20 for songs not transferred to, to be transferred to, or already stored on the PMP 14 .
- the user system 12 may further filter the recommendations 20 to remove recommendations identifying songs that are not transferred to, to be transferred to, or already stored on the PMP 14 .
- the user system 12 may wait for all select songs to be transferred, or at least selected for transfer, to the PMP 14 . At that point, the user system 12 may filter the recommendations 20 in the application file. For example, if a first song in the music collection 18 is not transferred to, to be transferred to, or already stored on the PMP 14 , the user system 12 may filter the recommendations 20 in the application file to remove the recommendations for the first song from the application file. Further, if the first song is a recommended song for a second song that is transferred or to be transferred to the PMP 14 , the user system 12 may filter the recommendations 20 in the application file to remove the first song from the list of recommended songs for the second song. The filtered recommendations may then be transferred to the PMP 14 .
- the recommendations 20 are stored as metadata within the song files, the select songs, or more specifically the corresponding song files, are transferred to the PMP 14 . Thereafter, the PMP 14 may ignore recommendations identifying songs that are not stored on the PMP 14 .
- the user system 12 may wait for all select songs to be identified. Then, before transferring the select songs to the PMP 14 , the user system 12 may filter the recommendations 20 for the select songs to remove recommendations identifying songs that are not also to be transferred to the PMP 14 or are already stored on the PMP 14 from the metadata of the song files. The filtered recommendations are provided to the PMP 14 and stored as, or as part of, the recommendations 26 . As a result, the recommendations stored in the metadata of the select song files are filtered before transferring the songs and recommendations to the PMP 14 such that the recommendations 26 on the PMP 14 are limited to the songs 24 stored on the PMP 14 .
- the PMP 14 may be decoupled from the user system 12 . While the PMP 14 is decoupled from the user system 12 , the PMP 14 may use the recommendations 26 to facilitate playback of the songs 24 (step 104 ). More specifically, in one embodiment, the user of the PMP 14 may select songs to play in traditional fashion. For example, the user may select one or more of the songs 24 for playback, generate a play list identifying a number of the songs 24 for playback, select a previously defined playlist, instruct the PMP 14 to randomly select or automatically “shuffle” the songs 24 or a group of the songs 24 , or the like. In addition, the user may instruct the PMP 14 to play a number of the recommendations 26 associated with each of the selected songs for playback. This is referred to herein as a “play by recommendation” mode of operation.
- the PMP 14 may be instructed or configured to operate in a “more like this” mode. In this mode, a seed song is selected, and the PMP 14 plays one or more recommendations associated with the seed song. In a third embodiment, the PMP 14 enables the user to browse, or navigate, the recommendations 26 to select songs for playback.
- FIG. 3 illustrates playback of a playlist and recommendations according to an exemplary embodiment of the present invention.
- the playlist includes SONG A and SONG H.
- SONG B-SONG G are recommended songs for SONG A and may be stored either in an application file or as metadata within the song file for SONG A.
- SONG B and SONG D-SONG G may be referred to herein as direct, or level 1, recommendations for SONG A.
- Each of the songs SONG B-SONG G has associated recommendations, which may be referred to as indirect, or level 2, recommendations for SONG A.
- SONG C is a recommended song for SONG B and is an indirect, or level 2, recommendation for SONG A.
- the chain of recommended songs continues indefinitely, as denoted by the ellipses.
- SONG H which is the second song in the playlist, has an associated series of direct and indirect recommendations, shown as SONG I-SONG M.
- the PMP 14 operates in the play by recommendation mode, and either user defined preferences or a default setting of the PMP 14 define a number of recommendations for play for each song in the playlist and the number of recommendation levels to traverse. In this example, the number of recommendations to play for each song is unlimited and the number of recommendation levels to traverse is two.
- the PMP 14 first plays SONG A. Next, the PMP 14 proceeds to the direct or level 1 recommendations for SONG A and plays SONG B. Then, since the PMP 14 is to traverse two recommendation levels, the PMP 14 may play SONG C and the other level 2 recommendations associated with SONG B.
- the PMP 14 may play SONG D and the associated level 2 recommendations, then SONG E and the associated level 2 recommendations, then SONG F and the associated level 2 recommendations, and then SONG G and the associated level 2 recommendations.
- the PMP 14 may then proceed to play the next song in the playlist, SONG H, and the associated level 1 and level 2 recommendations. The process may continue until the PMP 14 reaches the end of the playlist.
- the PMP 14 may operate to randomly select or shuffle the level 1 recommendations, the level 2 recommendations, or both the level 1 and level 2 recommendations.
- the PMP 14 operates in the play by recommendation mode, the number of recommendations to play for each song is limited to three songs, and the number of recommendation levels to traverse is two.
- the PMP 14 first plays SONG A.
- the PMP 14 selects three songs from the level 1 and level 2 recommendations associated with SONG A.
- the PMP 14 may select the three songs randomly or based on user preferences. For example, the user may prefer level 1 recommendations. As such, the PMP 14 may select the three songs from the level 1 recommendations for SONG A.
- the PMP 14 proceeds to play the next song in the playlist, SONG H, and then three of the associated level 1 and level 2 recommendations. The process continues until the PMP 14 reaches the end of the playlist.
- the PMP 14 may be configured to operate in a shuffle mode where the PMP 14 randomly selects songs to play from a playlist, from a group of the songs 24 stored on the PMP 14 , or from all of the songs 24 stored on the PMP 14 . Once a song is selected by the PMP 14 , the PMP 14 may play the selected song and one or more of the direct and indirect recommendations associated with the song in a manner similar to that described above.
- the PMP 14 may alternatively operate in the more like this mode, where the user of the PMP 14 may select a seed song and instruct the PMP 14 to play other songs that are like the seed song. In response, the PMP 14 may play one or more of the direct and indirect recommendations associated with the seed song in a manner similar to that described above.
- the no repeat window is a defined period of time during which no song may be repeated.
- the no repeat window may be defined as a number of songs that must be played before a song may be repeated or by an amount of time that must pass before a song may be repeated.
- the no repeat window may be desirable since the same song may be recommended for any number of other songs.
- FIG. 4 illustrates the system 10 according to a second embodiment of the present invention.
- the system 10 includes a server 28 communicatively coupled to user system 12 ′ via a network 30 , wherein the server 28 , rather than the user system 12 ′, hosts a recommendation engine 32 .
- the server 28 may optionally host a service 34 .
- the service 34 may alternatively be hosted by a separate server.
- the recommendation engine 32 may be implemented in software, hardware, or a combination of software and hardware, and operates to generate the recommendations 20 for a number of songs in the music collection 18 stored on the user system 12 ′. In one embodiment, the recommendations 20 are limited to other songs in the music collection 18 .
- the recommendations 20 may include songs from the music collection 18 , songs available via the service 34 , or a combination thereof. If the recommendations 20 include both songs from the music collection 18 and songs available via the service 34 that are not in the music collection 18 , the user may define preferences limiting the number of recommended songs that are not in the music collection 18 .
- the service 34 may be, for example, a subscription based music service providing access to songs for a subscription fee or an e-commerce service enabling purchase and download of songs.
- exemplary subscription based music services include Yahoo! Music Unlimited and RealNetwork's Rhapsody, which each provide access to millions of songs for a monthly subscription fee.
- Exemplary e-commerce services enabling purchase and download of songs include Apple's iTunes and Napster.
- FIG. 5 illustrates the operation of the system 10 of FIG. 4 according to one embodiment of the present invention.
- the user system 12 ′ provides information identifying one or more songs for which recommendations are desired to the server 28 (step 200 ).
- the server 28 may optionally verify the identity of the songs.
- the recommendation engine 32 at the server 28 then generates the recommendations 20 for each of the identified songs (step 202 ).
- the recommendations 20 may be generated using any known recommendation scheme. If the recommendations 20 are limited to songs in the music collection 18 or if the recommendations 20 include songs in the music collection 18 and songs not in the music collection 18 , the user system 12 ′ may additionally provide information identifying all of the songs in the music collection 18 to the server 28 .
- the server 28 may obtain information identifying the songs in the music collection 18 from a database associated with the service 34 , where the database includes information identifying each song downloaded to the user system 12 ′.
- the server 28 then provides the recommendations 20 , or more specifically information identifying the recommended songs for each song identified in step 200 , to the user system 12 ′ (step 204 ).
- the information identifying the recommended songs may be, for example, Globally Unique Identifiers (GUIDs), titles of the songs, or the like.
- the recommendations 20 may include Uniform Resource Locators (URLs) that may be used to obtain the songs from the service 34 .
- the user system 12 ′ stores the recommendations 20 either in an application file or as metadata within the corresponding song files.
- the service 34 may provide the recommended songs, or previews of the recommended songs, to the user system 12 ′ (step 206 ).
- the service 34 may provide the recommended songs or previews to the user system 12 ′ automatically in response to instructions from the recommendation engine 32 or in response to a request from the user system 12 ′.
- select songs and the recommendations 20 are provided to the PMP 14 during a synchronization process (step 206 ).
- songs for previews that were obtained from the service 34 in step 206 may automatically be transferred to the PMP 14 when the associated songs for which they are recommended are transferred to the PMP 14 or transferred to the PMP 14 only when selected by the user.
- the recommendations provided to the PMP 14 may optionally be filtered before transferring the recommendations to the PMP 14 to limit the recommendations to songs or previews stored, or to be stored, on the PMP 14 .
- synchronization is complete, and the PMP 14 uses the recommendations to facilitate playback, as described above (step 210 ).
- previews may be treated like any other recommended song.
- the user of the PMP 14 may mark desired previews such that the corresponding songs are subsequently obtained from the service 34 .
- U.S. patent application Ser. No. 11/403,499 entitled PORTABLE MEDIA PLAYER ENABLED TO OBTAIN PREVIEWS OF MEDIA CONTENT, filed Apr. 13, 2006
- U.S. patent application Ser. No. 11/403,598 entitled USER SYSTEM PROVIDING PREVIEWS TO AN ASSOCIATED PORTABLE MEDIA PLAYER, filed Apr. 13, 2006
- U.S. patent application Ser. No. 11/403,597 entitled CENTRAL SYSTEM PROVIDING PREVIEWS TO A PORTABLE MEDIA PLAYER, filed Apr. 13, 2006, all of which are hereby incorporated herein by reference in their entireties.
- FIG. 6 illustrates the system 10 according to a third embodiment of the present invention, where the system 10 is similar to that illustrated in FIG. 5 .
- the PMP 14 ′ has access to the service 34 via a network 36 . While illustrated separately, the network 36 may be interconnected to or part of the network 30 .
- the PMP 14 ′ preferably has access to the network 36 via a local wireless communication interface or a cellular communication interface.
- An exemplary local wireless communication interface is a communication interface operating according to one of the suite of IEEE 802.11 standards, the Bluetooth standard, or the like.
- An exemplary cellular communication interface is a communication interface operating according to the Global System for Mobile Communication (GSM) standard, the Third Generation (3G) Wideband Code Division Multiple Access (WCDMA) standard, or the like.
- GSM Global System for Mobile Communication
- WCDMA Wideband Code Division Multiple Access
- FIG. 7 illustrates the operation of the system 10 of FIG. 6 according to one embodiment of the present invention.
- the user system 12 ′ provides information identifying one or more songs for which recommendations are desired to the recommendation engine 32 (step 300 ).
- the recommendation engine 32 at the server 28 then generates the recommendations 20 for each of the identified songs (step 302 ).
- the recommendations 20 may be generated using any known recommendation scheme.
- the recommendations 20 preferably include songs available to the PMP 14 ′ via the service 34 and, optionally, songs from the music collection 18 .
- the user may define a percentage, or proportion, of the recommendations 20 that are to be songs in the music collection 18 .
- the recommendations 20 may alternatively be limited to the songs in the music collection 18 .
- the user system 12 ′ may additionally provide information identifying all of the songs in the music collection 18 to the recommendation engine 32 .
- the recommendation engine 32 may obtain information identifying the songs in the music collection 18 from a database associated with the service 34 , where the database includes information identifying each song downloaded to the user system 12 ′.
- the recommendation engine 32 then provides the recommendations 20 , or more specifically, information identifying the recommended songs for each song identified in step 300 , to the user system 12 ′ (step 304 ).
- the information identifying the recommended songs may be, for example, GUIDs, titles of the songs, or the like.
- the recommendations 20 may include URLs that may be used to obtain the songs from the service 34 .
- the user system 12 ′ stores the recommendations 20 either in an application file or as metadata within the corresponding song files. Thereafter, select songs and associated recommendations are provided to the PMP 14 during a synchronization process, as described above (step 306 ).
- the PMP 14 may use the recommendations to facilitate playback, as described above (step 308 ).
- the PMP 14 ′ may obtain the song or a preview of the song from the service 34 via the network 36 (steps 310 - 312 ).
- the PMP 14 ′ may download the full song from the service 34 . The user may be required to purchase the song prior to downloading the full song.
- FIG. 8 illustrates the system 10 according to a fourth embodiment of the present invention.
- the PMP 14 ′ directly obtains the recommendations 26 from the server 28 .
- FIG. 9 illustrates the operation of the system 10 of FIG. 8 according to one embodiment of the present invention.
- the PMP 14 ′ provides information identifying one or more songs for which recommendations are desired to the recommendation engine 32 (step 400 ).
- the recommendation engine 32 at the server 28 then generates the recommendations 26 for each of the identified songs (step 402 ).
- the recommendations 26 may be generated using any known recommendation scheme.
- the recommendations 26 preferably include songs available to the PMP 14 ′ via the service 34 and, optionally, songs already stored on the PMP 14 ′.
- the user may define a percentage, or proportion, of the recommendations 26 that are to be songs already stored on the PMP 14 ′.
- the recommendations 26 may alternatively be limited to the songs 24 already stored on the PMP 14 ′.
- the PMP 14 ′ may additionally provide information identifying all of the songs 24 stored on the PMP 14 ′ to the recommendation engine 32 .
- the recommendation engine 32 may obtain information identifying the songs 24 stored on the PMP 14 ′ from a database associated with the service 34 , where the database includes information identifying each song downloaded to the PMP 14 ′.
- the recommendation engine 32 then provides the recommendations 26 , or more specifically, information identifying the recommended songs for each song identified in step 400 , to PMP 14 ′ (step 404 ).
- the information identifying the recommended songs may be, for example, GUIDs, titles of the songs, or the like.
- the recommendations 20 may include URLs that may be used to obtain the songs from the service 34 .
- the PMP 14 ′ stores the recommendations 26 either in an application file or as metadata within the corresponding song files. At this point, the PMP 14 ′ uses the recommendations 26 to facilitate playback, as described above (step 406 ).
- the PMP 14 ′ may obtain the song or a preview of the song from the service 34 via the network 36 (steps 408 - 410 ). For previews, if the user desires to obtain the full song, the PMP 14 ′ may download the full song from the service 34 . The user may be required to purchase the song prior to downloading the full song.
- FIG. 10 is a block diagram of an exemplary embodiment of the user system 12 of FIGS. 1 and 2 .
- the user system 12 includes a control system 38 having associated memory 40 .
- the recommendation engine 16 is at least partially implemented in software and stored in the memory 40 .
- the user system 12 also includes a storage unit 42 , or alternatively one or more storage units, operating to store the music collection 18 and recommendations 20 .
- the storage unit 42 may be any digital storage unit such as, for example, a hard-disc drive, a network drive associated with the user system 12 , memory, an optical storage device, or the like.
- the user system 12 also includes a communication interface 44 .
- the communication interface 44 includes an interface for communicating with the PMP 14 during synchronization.
- the communication interface 44 may include either a wired interface or a local wireless interface for communicating with the PMP 14 .
- the user system 12 also includes a user interface 46 , which may include components such as, for example, a display, one or more user input devices, speakers, and the like.
- FIG. 11 is a block diagram of an exemplary embodiment of the user system 12 ′ of FIGS. 4-7 .
- the user system 12 ′ includes a control system 48 having associated memory 50 .
- the memory 50 operates to store software instructing the user system 12 ′ to operate according to the present invention.
- the user system 12 ′ also includes a storage unit 52 , or alternatively one or more storage units, operating to store the music collection 18 and recommendations 20 .
- the storage unit 52 may be any digital storage unit such as, for example, a hard-disc drive, a network drive associated with the user system 12 ′, memory, an optical storage device, or the like.
- the user system 12 ′ also includes a communication interface 54 .
- the communication interface 54 includes an interface for communicating with the PMP 14 during synchronization.
- the communication interface 54 may include either a wired interface or a local wireless interface for communicating with the PMP 14 .
- the communication interface 54 includes a network interface communicatively coupling the user system 12 ′ to the network 30 ( FIGS. 4 , 6 ).
- the user system 12 ′ also includes a user interface 56 , which may include components such as, for example, a display, one or more user input devices, speakers, and the like.
- FIG. 12 is a block diagram of an exemplary embodiment of the PMP 14 of FIGS. 1 , 2 , 4 , and 5 .
- the PMP 14 includes a control system 58 .
- the control system 58 includes the media playback function 22 , which may be implemented in software, hardware, or a combination of hardware and software.
- the PMP 14 also includes a storage unit 60 , or one or more storage units, operating to store the songs 24 and recommendations 26 .
- the storage unit 60 may be internal memory, a removable memory card, a hard-disc drive, an optical storage device, or the like.
- the PMP 14 also includes a communication interface 62 .
- the communication interface 62 includes an interface for communicating with the user system 12 , 12 ′ during synchronization.
- the communication interface 62 may include either a wired interface or a local wireless interface for communicating with the user system 12 , 12 ′.
- the PMP 14 also includes a user interface 64 , which may include components such as, for example, a display; one or more user input devices, buttons, or keys; speakers; audio output ports or jacks; and the like.
- FIG. 13 is a block diagram of an exemplary embodiment of the PMP 14 ′ of FIGS. 6-9 .
- the PMP 14 ′ includes a control system 66 .
- the control system 66 includes the media playback function 22 , which may be implemented in software, hardware, or a combination of hardware and software.
- the PMP 14 ′ also includes a storage unit 68 , or one or more storage units, operating to store the songs 24 and recommendations 26 .
- the storage unit 68 may be internal memory, a removable memory card, a hard-disc drive, an optical storage device, or the like.
- the PMP 14 ′ also includes a communication interface 70 .
- the communication interface 70 may include an interface for communicating with the user system 12 , 12 ′ during synchronization.
- the communication interface 70 may include either a wired interface or a local wireless interface for communicating with the user system 12 , 12 ′.
- the communication interface 70 also includes a network interface to the network 36 ( FIGS. 6 and 8 ).
- the network interface is preferably either a local wireless communication interface or a cellular network interface.
- the PMP 14 ′ also includes a user interface 72 , which may include components such as, for example, a display; one or more user input devices, buttons, or keys; speakers; audio output ports or jacks; and the like.
- FIG. 14 is a block diagram of an exemplary embodiment of the server 28 of FIGS. 4-9 .
- the server 28 generally includes a control system 74 .
- the recommendation engine 32 and service 34 are implemented as part of the control system 74 and may be implemented in hardware, software, or a combination of hardware and software.
- the server 28 also includes one or more storage units 76 and a communication interface 78 .
- the communication interface 78 communicatively couples the server 28 to the networks 30 and 36 .
- the server 28 may also include a user interface 80 , which may include components such as, for example, a display, one or more user input devices, and the like.
- the present invention provides substantial opportunity for variation without departing from the spirit or scope of the present invention.
- the discussion herein focuses on digital music, the present invention is not limited thereto.
- the present invention is equally applicable to other types of media content, such as video content, as will be apparent to one of ordinary skill in the art upon reading this disclosure.
- Examples of video content are movies, television programs, and like.
- a service such as the service 34
- recommendations for the song may be provided in addition to the song either separately or as metadata within the song file.
- the recommendations may be generated by the recommendation engine 16 , which may be hosted by the same server or a third-party server, prior to or in response to receiving the request for the song. Again, the recommendations may or may not be limited to songs already in the user's music collection 18 .
- recommendations may be obtained or generated only for those songs selected to be transferred or transferred to the PMP 14 , 14 ′ after the songs are selected to be transferred to transferred to the PMP 14 , 14 ′.
- FIGS. 1-7 the discussion of FIGS. 1-7 above focuses on generating recommendations for songs in the music collection 18 of the user system 12 , 12 ′.
- songs stored on the PMP 14 , 14 ′ are not included in the music collection 18 . This may particularly be the case where the PMP 14 ′ obtains music directly from the service 34 .
- the user system 12 , 12 ′ may obtain information identifying the songs already stored on the PMP 14 ′ during a synchronization process and either generate or obtain recommendations for those songs in addition to or instead of generating or obtaining recommendations for one or more songs from the music collection 18 of the users system 12 , 12 ′.
Abstract
Description
- This patent application is a continuation of U.S. patent application Ser. No. 11/463,148, filed Aug. 8, 2006, the disclosure of which is hereby incorporated herein by reference in its entirety.
- The present invention relates to generating media recommendations such as music recommendations, and more particularly relates to embedding media recommendations on a portable media player.
- Recommendation technologies are emerging as an important enabler in helping users identify and navigate their music collections. However, implementing recommendation systems can be expensive in terms of computing resources, and the best recommendation systems rely on a mix of content analysis and social networks to obtain optimal results. As such, resource-constrained devices, such as portable media players, are unable to enjoy the benefits of recommendation technology. Thus, there is a need for a system and method for generating recommendations for a portable media player and then storing, or embedding, the recommendations on the portable media player in such a manner that the recommendations can be accessed at run time with minimal computing resources.
- The present invention provides a system and method for embedding recommendations on a portable media player. In general, recommendations for media presentations stored or to be stored on the portable media player are generated by a recommendation engine hosted by an external system such as, for example, a user's personal computer or a network server. In one embodiment, the media presentations are songs, and the recommendations include a number of recommended songs for each song stored or to be stored on the portable media player. The recommendations may be limited to the media presentations stored on the portable media player or otherwise accessible to the portable media player. After the recommendations are generated, the recommendations are stored, or embedded, on the portable media player. In one embodiment, the recommendations are stored in an application file or light-weight database stored on the portable media player. In another embodiment, the recommendations are stored as metadata within corresponding media files stored on the portable media player. Thereafter, the portable media player may use the recommendations to facilitate playback of media content on the portable media player.
- More specifically, in one embodiment, a user system such as a personal computer hosts a media collection of a user associated with the user system and the portable media player. The recommendation engine is hosted by the user system and operates to generate recommendations for each media presentation in the user's media collection. Thereafter, when media presentations are transferred to the portable media player during a synchronization process, the recommendations, or a filtered version thereof, are also transferred to the portable media player. The recommendations may be filtered such that the recommendations transferred to the portable media player are limited to the media presentations stored on the portable media player and, optionally, to media presentations accessible to the portable media player via a network service.
- In another embodiment, a user system such as a personal computer hosts a media collection of a user associated with the user system and the portable media player. The recommendation engine is hosted by a server communicatively coupled to the user system via a network. The recommendation engine generates recommendations and provides the recommendations to the user system. Thereafter, when media presentations are transferred to the portable media player during a synchronization process, the recommendations, or a filtered version thereof, are also transferred to the portable media player. The recommendations may be filtered such that the recommendations transferred to the portable media player are limited to the media presentations stored on the portable media player and, optionally, to media presentations accessible to the portable media player via a network service.
- In yet another embodiment, the portable media player has network access to a server hosting the recommendation engine. The recommendation engine generates recommendations and provides the recommendations to the portable media player. The recommendations may be limited to the media presentations stored on the portable media player, to media presentations available via a network service, or to both media presentations stored on the portable media player and media presentations available via a network service.
- Those skilled in the art will appreciate the scope of the present invention and realize additional aspects thereof after reading the following detailed description of the preferred embodiments in association with the accompanying drawing figures.
- The accompanying drawing figures incorporated in and forming a part of this specification illustrate several aspects of the invention, and together with the description serve to explain the principles of the invention.
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FIG. 1 illustrates a system for embedding recommendations on a portable media player according to a first embodiment of the present invention; -
FIG. 2 illustrates the operation of the system ofFIG. 1 according to one embodiment of the present invention; -
FIG. 3 illustrates one embodiment of the recommendation scheme of the present invention; -
FIG. 4 illustrates a system for embedding recommendations on a portable media player according to a second embodiment of the present invention; -
FIG. 5 illustrates the operation of the system ofFIG. 4 according to one embodiment of the present invention; -
FIG. 6 illustrates a system for embedding recommendations on a portable media player according to a third embodiment of the present invention; -
FIG. 7 illustrates the operation of the system ofFIG. 6 according to one embodiment of the present invention; -
FIG. 8 illustrates a system for embedding recommendations on a portable media player according to a fourth embodiment of the present invention; -
FIG. 9 illustrates the operation of the system ofFIG. 8 according to one embodiment of the present invention; -
FIG. 10 is a block diagram of an exemplary embodiment of the user system ofFIGS. 1 and 2 ; -
FIG. 11 is a block diagram of an exemplary embodiment of theuser system 12′ ofFIGS. 4-7 ; -
FIG. 12 is a block diagram of an exemplary embodiment of thePMP 14 ofFIGS. 1 , 2, 4, and 5; -
FIG. 13 is a block diagram of an exemplary embodiment of thePMP 14′ ofFIGS. 6-9 ; and -
FIG. 14 is a block diagram of an exemplary embodiment of theserver 28 ofFIGS. 4-9 . - The embodiments set forth below represent the necessary information to enable those skilled in the art to practice the invention and illustrate the best mode of practicing the invention. Upon reading the following description in light of the accompanying drawing figures, those skilled in the art will understand the concepts of the invention and will recognize applications of these concepts not particularly addressed herein. It should be understood that these concepts and applications fall within the scope of the disclosure and the accompanying claims.
- The present invention relates to a system and method for embedding recommendations on a portable media player. In general, recommendations for media presentations stored or to be stored on the portable media player are generated by a recommendation engine hosted by an external system such as, for example, a user's personal computer or a network server. In one embodiment, the media presentations are songs, and the recommendations include a number of recommended songs for each song stored or to be stored on the portable media player. The recommendations may be limited to the media presentations stored on the portable media player or otherwise accessible to the portable media player. After the recommendations are generated, the recommendations are stored, or embedded, on the portable media player. Thereafter, the portable media player may use the recommendations to facilitate playback of media content on the portable media player.
- While the following discussion focuses on digital music, the present invention is not limited thereto. The present invention is equally applicable to other types of media content, such as video content, as will be apparent to one of ordinary skill in the art upon reading this disclosure. Examples of video content are movies, television programs, and like.
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FIG. 1 illustrates asystem 10 for embedding recommendations on a portable media player according to a first embodiment of the present invention. In this embodiment, thesystem 10 includes auser system 12 and a portable media player (PMP) 14, where theuser system 12 andPMP 14 are communicatively coupled during a synchronization process, as described below. Theuser system 12 may be, for example, a personal computer. Theuser system 12 includes arecommendation engine 16, amusic collection 18, andrecommendations 20. Therecommendation engine 16 may be implemented in software, hardware, or a combination of software and hardware. Themusic collection 18 includes a number of digital song files stored in one or more digital storage units within or associated with theuser system 12. In operation, therecommendation engine 16 operates to generate therecommendations 20 for each song in themusic collection 18. More specifically, for each particular song, therecommendation engine 16 generatesrecommendations 20 identifying other songs that are similar to that song. In this embodiment, the recommended songs are limited to other songs in themusic collection 18. However, as discussed below, the present invention is not limited thereto. - The
recommendations 20 include information identifying a number of recommended songs for each song in themusic collection 18. The information identifying the recommended songs may be any information capable of identifying the recommended songs such as, for example, Globally Unique Identifiers (GUIDs), titles of the songs, or the like. Therecommendations 20 may be stored in an application file, light-weight database, or the like. Note that while the following discussion focuses on an application file, it is to be understood that a light-weight database or the like may be used instead. Alternatively, for each particular song, therecommendations 20 for that song may be stored as metadata within the song file. - The
PMP 14 may be a portable media player such as, for example, a Motion Pictures Expert Group (MPEG) Layer 3 (MP3) player, an Apple iPod portable media player, a MusicGremlin portable media player, or the like. ThePMP 14 includes amedia playback function 22,songs 24, andrecommendations 26. Themedia playback function 22 may be implemented in hardware, software, or a combination of hardware and software and operates to provide playback of thesongs 24 stored on thePMP 14. Thesongs 24 are stored in one or more digital storage units within thePMP 14. The digital storage units may be, for example, hard-disc drives, internal memory, removable memory cards, optical storage devices, or the like. Thesongs 24 may be songs transferred to thePMP 14 from theuser system 12 during a synchronization process. Additionally, as discussed below, thesongs 24 may include songs obtained from a subscription-based music service or an e-commerce service via a network. Therecommendations 26 include information identifying recommended songs for each of the songs stored on thePMP 14. As discussed below, therecommendations 26 are either therecommendations 20 generated by therecommendation engine 16 or a filtered version thereof. Again, therecommendations 26 may be stored as an application file, light-weight database, or the like. Alternatively, for each of thesongs 24, therecommendations 26 for the song may be stored as metadata within the corresponding song file. -
FIG. 2 illustrates the operation of thesystem 10 ofFIG. 1 according to one embodiment of the present invention. First, therecommendation engine 16 of theuser system 12 generates recommendations for the songs in the user's music collection 18 (step 100). In this embodiment, the recommendations are limited to other songs in themusic collection 18, and therecommendation engine 16 generates recommendations for each of the songs in themusic collection 18 prior to the selection of songs to transfer to thePMP 14. The recommendations may thereafter be updated when, for example, new songs are added to themusic collection 18. - The
recommendation engine 16 may identify other songs from themusic collection 18 to recommend for each song using any known music recommendation scheme. For example, therecommendation engine 16 may consider metadata such as, but not limited to, genre, artist, album, release date and/or song attributes such as, but not limited to, beats-per-minute and the like. Exemplary music recommendation schemes are described in U.S. patent application Ser. No. 11/471,797, entitled HISTORICAL MEDIA RECOMMENDATION SERVICE, filed Jun. 21, 2006 and U.S. Patent Application Publication No. 2004/0107821, entitled METHOD AND SYSTEM FOR MUSIC RECOMMENDATION, published Jun. 10, 2004, both of which are hereby incorporated herein by reference in their entireties. - The
user system 12 then provides select songs from themusic collection 18 and therecommendations 20, or a filtered version of therecommendations 20, to thePMP 14 during a synchronization process (step 102). Once received by thePMP 14, the select songs and recommendations are stored by thePMP 14 as thesongs 24 andrecommendations 26. The select songs provided to thePMP 14 are preferably selected by the user of theuser system 12 for transfer to thePMP 14. - As discussed above, the
recommendations 20 for the songs in themusic collection 18 may be stored in an application file or stored as metadata within the song files. If therecommendations 20 for the songs in themusic collection 18 are stored in an application file, theuser system 12 may provide the application file including therecommendations 20 for all of the songs in themusic collection 18 to thePMP 14 to be stored as therecommendations 26 on thePMP 14. Thereafter, thePMP 14 may ignore the recommendations for songs not transferred to or already stored on thePMP 14. Further, for songs that are stored on or to be transferred to thePMP 14, thePMP 14 may further ignore recommendations identifying songs that are not stored on thePMP 14. - Alternatively, the
user system 12 may filter therecommendations 20 in the application file prior to transfer to thePMP 14 to provide therecommendations 26 for thePMP 14. Therecommendations 20 may be filtered in order to limit therecommendations 26 to thesongs 24 stored on thePMP 14. More specifically, therecommendations 20 may be filtered to remove therecommendations 20 for songs not transferred to, to be transferred to, or already stored on thePMP 14. For songs that are transferred to, to be transferred to, or already stored on thePMP 14, theuser system 12 may further filter therecommendations 20 to remove recommendations identifying songs that are not transferred to, to be transferred to, or already stored on thePMP 14. - In order to filter the
recommendations 20, theuser system 12 may wait for all select songs to be transferred, or at least selected for transfer, to thePMP 14. At that point, theuser system 12 may filter therecommendations 20 in the application file. For example, if a first song in themusic collection 18 is not transferred to, to be transferred to, or already stored on thePMP 14, theuser system 12 may filter therecommendations 20 in the application file to remove the recommendations for the first song from the application file. Further, if the first song is a recommended song for a second song that is transferred or to be transferred to thePMP 14, theuser system 12 may filter therecommendations 20 in the application file to remove the first song from the list of recommended songs for the second song. The filtered recommendations may then be transferred to thePMP 14. - In a similar fashion, if the
recommendations 20 are stored as metadata within the song files, the select songs, or more specifically the corresponding song files, are transferred to thePMP 14. Thereafter, thePMP 14 may ignore recommendations identifying songs that are not stored on thePMP 14. Alternatively, before transferring the select songs andrecommendations 20 to thePMP 14, theuser system 12 may wait for all select songs to be identified. Then, before transferring the select songs to thePMP 14, theuser system 12 may filter therecommendations 20 for the select songs to remove recommendations identifying songs that are not also to be transferred to thePMP 14 or are already stored on thePMP 14 from the metadata of the song files. The filtered recommendations are provided to thePMP 14 and stored as, or as part of, therecommendations 26. As a result, the recommendations stored in the metadata of the select song files are filtered before transferring the songs and recommendations to thePMP 14 such that therecommendations 26 on thePMP 14 are limited to thesongs 24 stored on thePMP 14. - At this point, synchronization is complete, and the
PMP 14 may be decoupled from theuser system 12. While thePMP 14 is decoupled from theuser system 12, thePMP 14 may use therecommendations 26 to facilitate playback of the songs 24 (step 104). More specifically, in one embodiment, the user of thePMP 14 may select songs to play in traditional fashion. For example, the user may select one or more of thesongs 24 for playback, generate a play list identifying a number of thesongs 24 for playback, select a previously defined playlist, instruct thePMP 14 to randomly select or automatically “shuffle” thesongs 24 or a group of thesongs 24, or the like. In addition, the user may instruct thePMP 14 to play a number of therecommendations 26 associated with each of the selected songs for playback. This is referred to herein as a “play by recommendation” mode of operation. - In another embodiment, the
PMP 14 may be instructed or configured to operate in a “more like this” mode. In this mode, a seed song is selected, and thePMP 14 plays one or more recommendations associated with the seed song. In a third embodiment, thePMP 14 enables the user to browse, or navigate, therecommendations 26 to select songs for playback. -
FIG. 3 illustrates playback of a playlist and recommendations according to an exemplary embodiment of the present invention. Before discussing exemplary playback scenarios, it may be beneficial to briefly discuss the illustrated recommendation scheme. In this example, the playlist includes SONG A and SONG H. SONG B-SONG G are recommended songs for SONG A and may be stored either in an application file or as metadata within the song file for SONG A. SONG B and SONG D-SONG G may be referred to herein as direct, or level 1, recommendations for SONG A. Each of the songs SONG B-SONG G has associated recommendations, which may be referred to as indirect, or level 2, recommendations for SONG A. For example, SONG C is a recommended song for SONG B and is an indirect, or level 2, recommendation for SONG A. The chain of recommended songs continues indefinitely, as denoted by the ellipses. In a similar fashion, SONG H, which is the second song in the playlist, has an associated series of direct and indirect recommendations, shown as SONG I-SONG M. - As a first exemplary playback scenario, the
PMP 14 operates in the play by recommendation mode, and either user defined preferences or a default setting of thePMP 14 define a number of recommendations for play for each song in the playlist and the number of recommendation levels to traverse. In this example, the number of recommendations to play for each song is unlimited and the number of recommendation levels to traverse is two. ThePMP 14 first plays SONG A. Next, thePMP 14 proceeds to the direct or level 1 recommendations for SONG A and plays SONG B. Then, since thePMP 14 is to traverse two recommendation levels, thePMP 14 may play SONG C and the other level 2 recommendations associated with SONG B. Next, thePMP 14 may play SONG D and the associated level 2 recommendations, then SONG E and the associated level 2 recommendations, then SONG F and the associated level 2 recommendations, and then SONG G and the associated level 2 recommendations. ThePMP 14 may then proceed to play the next song in the playlist, SONG H, and the associated level 1 and level 2 recommendations. The process may continue until thePMP 14 reaches the end of the playlist. - Rather than sequentially stepping through the level 1 and level 2 recommendations, the
PMP 14 may operate to randomly select or shuffle the level 1 recommendations, the level 2 recommendations, or both the level 1 and level 2 recommendations. - As a second exemplary playback scenario, the
PMP 14 operates in the play by recommendation mode, the number of recommendations to play for each song is limited to three songs, and the number of recommendation levels to traverse is two. ThePMP 14 first plays SONG A. Next, thePMP 14 selects three songs from the level 1 and level 2 recommendations associated with SONG A. ThePMP 14 may select the three songs randomly or based on user preferences. For example, the user may prefer level 1 recommendations. As such, thePMP 14 may select the three songs from the level 1 recommendations for SONG A. Next, thePMP 14 proceeds to play the next song in the playlist, SONG H, and then three of the associated level 1 and level 2 recommendations. The process continues until thePMP 14 reaches the end of the playlist. - Rather than selecting initial songs using a playlist, the
PMP 14 may be configured to operate in a shuffle mode where thePMP 14 randomly selects songs to play from a playlist, from a group of thesongs 24 stored on thePMP 14, or from all of thesongs 24 stored on thePMP 14. Once a song is selected by thePMP 14, thePMP 14 may play the selected song and one or more of the direct and indirect recommendations associated with the song in a manner similar to that described above. - The
PMP 14 may alternatively operate in the more like this mode, where the user of thePMP 14 may select a seed song and instruct thePMP 14 to play other songs that are like the seed song. In response, thePMP 14 may play one or more of the direct and indirect recommendations associated with the seed song in a manner similar to that described above. - In any of the modes of operation described above, there may be a user defined or default “no repeat window.” The no repeat window is a defined period of time during which no song may be repeated. For example, the no repeat window may be defined as a number of songs that must be played before a song may be repeated or by an amount of time that must pass before a song may be repeated. The no repeat window may be desirable since the same song may be recommended for any number of other songs.
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FIG. 4 illustrates thesystem 10 according to a second embodiment of the present invention. In this embodiment, thesystem 10 includes aserver 28 communicatively coupled touser system 12′ via anetwork 30, wherein theserver 28, rather than theuser system 12′, hosts arecommendation engine 32. In addition, theserver 28 may optionally host aservice 34. Theservice 34 may alternatively be hosted by a separate server. Therecommendation engine 32 may be implemented in software, hardware, or a combination of software and hardware, and operates to generate therecommendations 20 for a number of songs in themusic collection 18 stored on theuser system 12′. In one embodiment, therecommendations 20 are limited to other songs in themusic collection 18. In another embodiment, therecommendations 20 may include songs from themusic collection 18, songs available via theservice 34, or a combination thereof. If therecommendations 20 include both songs from themusic collection 18 and songs available via theservice 34 that are not in themusic collection 18, the user may define preferences limiting the number of recommended songs that are not in themusic collection 18. - The
service 34 may be, for example, a subscription based music service providing access to songs for a subscription fee or an e-commerce service enabling purchase and download of songs. Exemplary subscription based music services include Yahoo! Music Unlimited and RealNetwork's Rhapsody, which each provide access to millions of songs for a monthly subscription fee. Exemplary e-commerce services enabling purchase and download of songs include Apple's iTunes and Napster. -
FIG. 5 illustrates the operation of thesystem 10 ofFIG. 4 according to one embodiment of the present invention. First, theuser system 12′ provides information identifying one or more songs for which recommendations are desired to the server 28 (step 200). Theserver 28 may optionally verify the identity of the songs. Therecommendation engine 32 at theserver 28 then generates therecommendations 20 for each of the identified songs (step 202). As discussed above, therecommendations 20 may be generated using any known recommendation scheme. If therecommendations 20 are limited to songs in themusic collection 18 or if therecommendations 20 include songs in themusic collection 18 and songs not in themusic collection 18, theuser system 12′ may additionally provide information identifying all of the songs in themusic collection 18 to theserver 28. Alternatively, if the songs in themusic collection 18 were obtained via theservice 34, theserver 28 may obtain information identifying the songs in themusic collection 18 from a database associated with theservice 34, where the database includes information identifying each song downloaded to theuser system 12′. - The
server 28 then provides therecommendations 20, or more specifically information identifying the recommended songs for each song identified instep 200, to theuser system 12′ (step 204). The information identifying the recommended songs may be, for example, Globally Unique Identifiers (GUIDs), titles of the songs, or the like. In addition, for recommended songs available via theservice 34, therecommendations 20 may include Uniform Resource Locators (URLs) that may be used to obtain the songs from theservice 34. Theuser system 12′ stores therecommendations 20 either in an application file or as metadata within the corresponding song files. - Optionally, for recommended songs that are not stored in the
music collection 18, theservice 34 may provide the recommended songs, or previews of the recommended songs, to theuser system 12′ (step 206). Theservice 34 may provide the recommended songs or previews to theuser system 12′ automatically in response to instructions from therecommendation engine 32 or in response to a request from theuser system 12′. - Thereafter, select songs and the
recommendations 20, or a filtered version of therecommendations 20, are provided to thePMP 14 during a synchronization process (step 206). Note that songs for previews that were obtained from theservice 34 instep 206 may automatically be transferred to thePMP 14 when the associated songs for which they are recommended are transferred to thePMP 14 or transferred to thePMP 14 only when selected by the user. As discussed above, the recommendations provided to thePMP 14 may optionally be filtered before transferring the recommendations to thePMP 14 to limit the recommendations to songs or previews stored, or to be stored, on thePMP 14. At this point, synchronization is complete, and thePMP 14 uses the recommendations to facilitate playback, as described above (step 210). - Note that previews may be treated like any other recommended song. However, the user of the
PMP 14 may mark desired previews such that the corresponding songs are subsequently obtained from theservice 34. For example, see U.S. patent application Ser. No. 11/403,499, entitled PORTABLE MEDIA PLAYER ENABLED TO OBTAIN PREVIEWS OF MEDIA CONTENT, filed Apr. 13, 2006; U.S. patent application Ser. No. 11/403,598, entitled USER SYSTEM PROVIDING PREVIEWS TO AN ASSOCIATED PORTABLE MEDIA PLAYER, filed Apr. 13, 2006; and U.S. patent application Ser. No. 11/403,597, entitled CENTRAL SYSTEM PROVIDING PREVIEWS TO A PORTABLE MEDIA PLAYER, filed Apr. 13, 2006, all of which are hereby incorporated herein by reference in their entireties. -
FIG. 6 illustrates thesystem 10 according to a third embodiment of the present invention, where thesystem 10 is similar to that illustrated inFIG. 5 . In this embodiment, thePMP 14′ has access to theservice 34 via anetwork 36. While illustrated separately, thenetwork 36 may be interconnected to or part of thenetwork 30. ThePMP 14′ preferably has access to thenetwork 36 via a local wireless communication interface or a cellular communication interface. An exemplary local wireless communication interface is a communication interface operating according to one of the suite of IEEE 802.11 standards, the Bluetooth standard, or the like. An exemplary cellular communication interface is a communication interface operating according to the Global System for Mobile Communication (GSM) standard, the Third Generation (3G) Wideband Code Division Multiple Access (WCDMA) standard, or the like. -
FIG. 7 illustrates the operation of thesystem 10 ofFIG. 6 according to one embodiment of the present invention. First, theuser system 12′ provides information identifying one or more songs for which recommendations are desired to the recommendation engine 32 (step 300). Therecommendation engine 32 at theserver 28 then generates therecommendations 20 for each of the identified songs (step 302). As discussed above, therecommendations 20 may be generated using any known recommendation scheme. In this embodiment, therecommendations 20 preferably include songs available to thePMP 14′ via theservice 34 and, optionally, songs from themusic collection 18. The user may define a percentage, or proportion, of therecommendations 20 that are to be songs in themusic collection 18. However, therecommendations 20 may alternatively be limited to the songs in themusic collection 18. - If the
recommendations 20 are limited to songs in themusic collection 18 or if therecommendations 20 include both songs in themusic collection 18 and songs not in themusic collection 18, theuser system 12′ may additionally provide information identifying all of the songs in themusic collection 18 to therecommendation engine 32. Alternatively, if the songs in themusic collection 18 were obtained via theservice 34, therecommendation engine 32 may obtain information identifying the songs in themusic collection 18 from a database associated with theservice 34, where the database includes information identifying each song downloaded to theuser system 12′. - The
recommendation engine 32 then provides therecommendations 20, or more specifically, information identifying the recommended songs for each song identified instep 300, to theuser system 12′ (step 304). The information identifying the recommended songs may be, for example, GUIDs, titles of the songs, or the like. In addition, for recommended songs available via theservice 34, therecommendations 20 may include URLs that may be used to obtain the songs from theservice 34. Theuser system 12′ stores therecommendations 20 either in an application file or as metadata within the corresponding song files. Thereafter, select songs and associated recommendations are provided to thePMP 14 during a synchronization process, as described above (step 306). - Once synchronization is complete, the
PMP 14 may use the recommendations to facilitate playback, as described above (step 308). During playback of songs on thePMP 14′, if thePMP 14′ desires to play one of the recommended songs that is not stored on thePMP 14′ but is available via theservice 34, thePMP 14′ may obtain the song or a preview of the song from theservice 34 via the network 36 (steps 310-312). For previews, if the user desires to obtain the full song, thePMP 14′ may download the full song from theservice 34. The user may be required to purchase the song prior to downloading the full song. -
FIG. 8 illustrates thesystem 10 according to a fourth embodiment of the present invention. In this embodiment, thePMP 14′ directly obtains therecommendations 26 from theserver 28.FIG. 9 illustrates the operation of thesystem 10 ofFIG. 8 according to one embodiment of the present invention. First, thePMP 14′ provides information identifying one or more songs for which recommendations are desired to the recommendation engine 32 (step 400). Therecommendation engine 32 at theserver 28 then generates therecommendations 26 for each of the identified songs (step 402). As discussed above, therecommendations 26 may be generated using any known recommendation scheme. In this embodiment, therecommendations 26 preferably include songs available to thePMP 14′ via theservice 34 and, optionally, songs already stored on thePMP 14′. The user may define a percentage, or proportion, of therecommendations 26 that are to be songs already stored on thePMP 14′. Alternatively, therecommendations 26 may alternatively be limited to thesongs 24 already stored on thePMP 14′. - If the
recommendations 26 include songs already stored on thePMP 14′ or if therecommendations 26 are limited to thesongs 24 already stored on thePMP 14′, thePMP 14′ may additionally provide information identifying all of thesongs 24 stored on thePMP 14′ to therecommendation engine 32. Alternatively, if thesongs 24 stored on thePMP 14′ were obtained via theservice 34, therecommendation engine 32 may obtain information identifying thesongs 24 stored on thePMP 14′ from a database associated with theservice 34, where the database includes information identifying each song downloaded to thePMP 14′. - The
recommendation engine 32 then provides therecommendations 26, or more specifically, information identifying the recommended songs for each song identified instep 400, toPMP 14′ (step 404). The information identifying the recommended songs may be, for example, GUIDs, titles of the songs, or the like. In addition, for recommended songs available via theservice 34, therecommendations 20 may include URLs that may be used to obtain the songs from theservice 34. ThePMP 14′ stores therecommendations 26 either in an application file or as metadata within the corresponding song files. At this point, thePMP 14′ uses therecommendations 26 to facilitate playback, as described above (step 406). During playback of songs on thePMP 14′, if thePMP 14′ desires to play one of the recommended songs that is not stored on thePMP 14′ but is available via theservice 34, thePMP 14′ may obtain the song or a preview of the song from theservice 34 via the network 36 (steps 408-410). For previews, if the user desires to obtain the full song, thePMP 14′ may download the full song from theservice 34. The user may be required to purchase the song prior to downloading the full song. -
FIG. 10 is a block diagram of an exemplary embodiment of theuser system 12 ofFIGS. 1 and 2 . In general, theuser system 12 includes acontrol system 38 having associatedmemory 40. In this example, therecommendation engine 16 is at least partially implemented in software and stored in thememory 40. Theuser system 12 also includes astorage unit 42, or alternatively one or more storage units, operating to store themusic collection 18 andrecommendations 20. Thestorage unit 42 may be any digital storage unit such as, for example, a hard-disc drive, a network drive associated with theuser system 12, memory, an optical storage device, or the like. Theuser system 12 also includes acommunication interface 44. Thecommunication interface 44 includes an interface for communicating with thePMP 14 during synchronization. For example, thecommunication interface 44 may include either a wired interface or a local wireless interface for communicating with thePMP 14. Theuser system 12 also includes auser interface 46, which may include components such as, for example, a display, one or more user input devices, speakers, and the like. -
FIG. 11 is a block diagram of an exemplary embodiment of theuser system 12′ ofFIGS. 4-7 . In general, theuser system 12′ includes acontrol system 48 having associatedmemory 50. Thememory 50 operates to store software instructing theuser system 12′ to operate according to the present invention. Theuser system 12′ also includes astorage unit 52, or alternatively one or more storage units, operating to store themusic collection 18 andrecommendations 20. Thestorage unit 52 may be any digital storage unit such as, for example, a hard-disc drive, a network drive associated with theuser system 12′, memory, an optical storage device, or the like. Theuser system 12′ also includes acommunication interface 54. Thecommunication interface 54 includes an interface for communicating with thePMP 14 during synchronization. For example, thecommunication interface 54 may include either a wired interface or a local wireless interface for communicating with thePMP 14. In addition, thecommunication interface 54 includes a network interface communicatively coupling theuser system 12′ to the network 30 (FIGS. 4 , 6). Theuser system 12′ also includes a user interface 56, which may include components such as, for example, a display, one or more user input devices, speakers, and the like. -
FIG. 12 is a block diagram of an exemplary embodiment of thePMP 14 ofFIGS. 1 , 2, 4, and 5. In general, thePMP 14 includes acontrol system 58. In this example, thecontrol system 58 includes themedia playback function 22, which may be implemented in software, hardware, or a combination of hardware and software. ThePMP 14 also includes astorage unit 60, or one or more storage units, operating to store thesongs 24 andrecommendations 26. Thestorage unit 60 may be internal memory, a removable memory card, a hard-disc drive, an optical storage device, or the like. ThePMP 14 also includes acommunication interface 62. Thecommunication interface 62 includes an interface for communicating with theuser system communication interface 62 may include either a wired interface or a local wireless interface for communicating with theuser system PMP 14 also includes auser interface 64, which may include components such as, for example, a display; one or more user input devices, buttons, or keys; speakers; audio output ports or jacks; and the like. -
FIG. 13 is a block diagram of an exemplary embodiment of thePMP 14′ ofFIGS. 6-9 . In general, thePMP 14′ includes acontrol system 66. In this example, thecontrol system 66 includes themedia playback function 22, which may be implemented in software, hardware, or a combination of hardware and software. ThePMP 14′ also includes astorage unit 68, or one or more storage units, operating to store thesongs 24 andrecommendations 26. Thestorage unit 68 may be internal memory, a removable memory card, a hard-disc drive, an optical storage device, or the like. ThePMP 14′ also includes acommunication interface 70. Thecommunication interface 70 may include an interface for communicating with theuser system communication interface 70 may include either a wired interface or a local wireless interface for communicating with theuser system communication interface 70 also includes a network interface to the network 36 (FIGS. 6 and 8 ). The network interface is preferably either a local wireless communication interface or a cellular network interface. ThePMP 14′ also includes a user interface 72, which may include components such as, for example, a display; one or more user input devices, buttons, or keys; speakers; audio output ports or jacks; and the like. -
FIG. 14 is a block diagram of an exemplary embodiment of theserver 28 ofFIGS. 4-9 . Theserver 28 generally includes acontrol system 74. In this example, therecommendation engine 32 andservice 34 are implemented as part of thecontrol system 74 and may be implemented in hardware, software, or a combination of hardware and software. Theserver 28 also includes one ormore storage units 76 and acommunication interface 78. Thecommunication interface 78 communicatively couples theserver 28 to thenetworks server 28 may also include auser interface 80, which may include components such as, for example, a display, one or more user input devices, 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 the discussion herein focuses on digital music, the present invention is not limited thereto. The present invention is equally applicable to other types of media content, such as video content, as will be apparent to one of ordinary skill in the art upon reading this disclosure. Examples of video content are movies, television programs, and like.
- As a second example, while the discussion above focuses on generating recommendations for songs identified by either the
user system PMP 14′, the present invention is not limited thereto. More specifically, a service, such as theservice 34, may provide a subscription based service or an e-commerce service wherein recommendations for songs are provided upon initial download or purchase from theservice 34. Thus, for example, when a user requests a particular song from the subscription basedservice 34, recommendations for the song may be provided in addition to the song either separately or as metadata within the song file. The recommendations may be generated by therecommendation engine 16, which may be hosted by the same server or a third-party server, prior to or in response to receiving the request for the song. Again, the recommendations may or may not be limited to songs already in the user'smusic collection 18. - As a third example, while the discussion of
FIGS. 1-7 focus on generating recommendations prior to selecting songs for transfer to thePMP PMP PMP - As a fourth example, the discussion of
FIGS. 1-7 above focuses on generating recommendations for songs in themusic collection 18 of theuser system PMP music collection 18. This may particularly be the case where thePMP 14′ obtains music directly from theservice 34. In this situation, theuser system PMP 14′ during a synchronization process and either generate or obtain recommendations for those songs in addition to or instead of generating or obtaining recommendations for one or more songs from themusic collection 18 of theusers system - Those skilled in the art will recognize improvements and modifications to the preferred embodiments of the present invention. All such improvements and modifications are considered within the scope of the concepts disclosed herein and the claims that follow.
Claims (31)
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