Sharing music essence in a recommendation system

• US 20060265349A1
• Filed: 05/23/2006
• Published: 11/23/2006
• Est. Priority Date: 05/23/2005
• Status: Active Grant

• Current Assignee: Gracenote, Inc. (RR Donnelley & Sons Company)
• Original Assignee: Amplified Music Services, Inc.
• Inventors: Hicken, Wendell T.
• Granted Patent: US 7,613,736 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/634 Query by example, e.g. query by humming
• CPC Class Codes: G06F 16/639 using playlists
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99944 Object-oriented database structure
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing
• CPC Class Codes: Y10S 707/99948 Application of database or data structure, e.g. distributed, multimedia, or image

Abstract

A system for sharing playlists and playlist essence with different users. A user desiring to share his or her playlist generates the playlist and a playlist characterization. The playlist characterization is based on acoustic analysis data of one or more songs in the playlist. The playlist and playlist characterization is then transmitted to another end user device. The end user device receiving the shared playlist searches the user'"'"'s music collection for the songs in the playlist. If a gap is detected in the playlist because the receiving user does not own a particular song, the receiving end user devices automatically selects another song that is owned by the user to fill-in the gap. The song is selected based on the playlist characterization with the aim of preserving the essence of the shared playlist.

Claims

1. A computer-implemented method for sharing playlists comprising:

receiving, under control of the computer, a playlist of songs;

searching, under control of the computer, a data store for the songs in the playlist;

identifying, under control of the computer, a first song in the playlist unavailable in the data store;

responsive to the identification of the first song, automatically identifying a second song available in the data store for replacing the first song;

generating, under control of the computer, a modified playlist of songs, the modified playlist replacing the first song with the second song; and

outputting the modified playlist.

2. The method of claim 1, wherein the playlist is downloaded from a remote location.

3. The method of claim 1, wherein the automatically identifying of the second song further includes:

retrieving, under control of the computer, a playlist characterization; and

selecting the second song based on the playlist characterization.

4. The method of claim 3, wherein the playlist characterization is based on acoustic analysis data of at least one song in the playlist.

5. The method of claim 3, wherein the playlist characterization is based on a group profile of the playlist, the group profile being generated based on acoustic analysis data of a plurality of songs in the playlist.

6. The method of claim 3, wherein the playlist characterization is based on a group profile of an artist associated with the playlist.

7. The method of claim 3, wherein the playlist characterization is based on a group profile of an album associated with the playlist.

8. The method of claim 1, wherein the data store is a local data store.

9. The method of claim 1, wherein the data store is a remote data store.

10. The method of claim 1 further comprising:

playing, under control of the computer, the modified playlist of songs.

11. A computer-implemented method for sharing playlists comprising:

selecting one or more songs from a data store;

generating a playlist based on the selected songs;

retrieving acoustic analysis data of one or more songs in the playlist;

generating a playlist characterization based on the acoustic analysis data; and

transmitting the playlist and the playlist characterization to a remote end device.

12. The method of claim 11, wherein the playlist and the playlist characterization are transmitted to a server for downloading by the remote end device.

13. The method of claim 11, wherein the playlist characterization is based on acoustic analysis data of at least one song in the playlist.

14. The method of claim 11, wherein the playlist characterization is based on a group profile of the playlist, the group profile being generated based on acoustic analysis data of a plurality of songs in the playlist.

15. The method of claim 11, wherein the playlist characterization is based on a group profile of an artist associated with the playlist.

16. The method of claim 11, wherein the playlist characterization is based on a group profile of an album associated with the playlist.

17. An end user device in a system for sharing playlists, the end user device comprising:

a network connection for receiving a playlist of songs;

a data store including a plurality of stored songs;

a processor; and

a memory coupled to the processor, and having program instructions stored therein, the processor being operable to execute the program instructions, the program instructions including;

searching the data store for the songs in the playlist;

identifying a first song in the playlist unavailable in the data store;

responsive to the identification of the first song, automatically identifying a second song available in the data store for replacing the first song;

generating a modified playlist of songs, the modified playlist replacing the first song with the second song; and

outputting the modified playlist.

18. The end user device of claim 17, wherein the network connection downloads the playlist from a remote location.

19. The end user device of claim 17, wherein the program instructions for automatically identifying of the second song further includes program instructions for:

retrieving a playlist characterization; and

selecting the second song based on the playlist characterization.

20. The end user device of claim 19, wherein the playlist characterization is based on acoustic analysis data of at least one song in the playlist.

21. The end user device of claim 19, wherein the playlist characterization is based on a group profile of the playlist, the group profile being generated based on acoustic analysis data of a plurality of songs in the playlist.

22. The end user device of claim 19, wherein the playlist characterization is based on a group profile of an artist associated with the playlist.

23. The end user device of claim 19, wherein the playlist characterization is based on a group profile of an album associated with the playlist.

24. The end user device of claim 17 further comprising:

a music player playing the modified playlist of songs.

25. An end user device in a system for sharing playlists, the end user device comprising:

a data store storing a plurality of songs and acoustic analysis data for the plurality of the songs;

a processor; and

a memory coupled to the processor, and having program instructions stored therein, the processor being operable to execute the program instructions, the program instructions including;

selecting one or more songs from the data store;

generating a playlist based on the selected songs;

retrieving acoustic analysis data of one or more songs in the playlist; and

generating a playlist characterization based on the acoustic analysis data; and

a network connection for transmitting the playlist and the playlist characterization to a remote end device.

26. The end user device of claim 25, wherein the playlist and the playlist characterization are transmitted to a server for downloading by the remote end device.

27. The end user device of claim 25, wherein the playlist characterization is based on acoustic analysis data of at least one song in the playlist.

28. The end user device of claim 25, wherein the playlist characterization is based on a group profile of the playlist, the group profile being generated based on acoustic analysis data of a plurality of songs in the playlist.

29. The end user device of claim 25, wherein the playlist characterization is based on a group profile of an artist associated with the playlist.

30. The end user device of claim 25, wherein the playlist characterization is based on a group profile of an album associated with the playlist.