SYSTEM AND METHOD FOR CORRELATING SIMILAR PLAYLISTS IN A MEDIA SHARING NETWORK

• US 20100114979A1
• Filed: 10/28/2008
• Published: 05/06/2010
• Est. Priority Date: 10/28/2008
• Status: Abandoned Application

• Current Assignee: Napo Enerprises, LLC (Concert Technology Corporation)
• Original Assignee: Concert Technology Corporation, Eloy Technology, LLC (Concert Technology Corporation)
• Inventors: Petersen, Steven L.
• Application Number:
  US12/259,711
• Publication Number:
  US 20100114979A1
• Time in Patent Office: Days
• US Class Current: 707/803
• CPC Class Codes: G06F 16/4387 by the use of playlists

Abstract

Methods and systems for aggregating playlists having similar content are provided. In general, a number of playlists are first obtained. Next, content of the playlists is analyzed to identify playlists that match to at least a defined threshold degree. Each group of two or more playlists having matching content is aggregated to provide a corresponding aggregate playlist.

Claims

1. A method comprising:

obtaining a plurality of playlists;

identifying at least two matching playlists from the plurality of playlists that have content that matches to at least a desired threshold degree; and

aggregating the at least two matching playlists to provide an aggregate playlist.

2. The method of claim 1 wherein identifying the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree comprises:

determining a correlation factor for at least two playlists of the plurality of playlists;

making a determination as to whether the at least two playlists match to at least the desired threshold degree based on the correlation factor; and

identifying the at least two playlists as the at least two matching playlists if the determination is made that the at least two playlists match to at least the desired threshold degree based on the correlation factor.

3. The method of claim 1 wherein identifying the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree comprises identifying at least two playlists having at least a threshold percentage of media items in common as the at least two matching playlists.

4. The method of claim 1 wherein identifying the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree comprises:

determining a governing criterion for each of at least a subset of the plurality of playlists;

identifying at least two playlists from the at least a subset of the plurality of playlists that have the same governing criterion;

making a determination as to whether to identify the at least two playlists as matching playlists based on a correlation of the at least two playlists with respect to the governing criterion of the at least two playlists; and

identifying the at least two playlists as the at least two matching playlists if the determination is made to identify the at least two playlists as matching playlists.

5. The method of claim 4 wherein the governing criterion for each playlist of the at least a subset of the plurality of playlists is a metadata category for metadata describing media items in the playlist.

6. The method of claim 4 wherein for each playlist of the at least a subset of the plurality of playlists, the governing criterion for the playlist is a metadata category for metadata describing media items in the playlist, the metadata category being one of a group consisting of:

an artist metadata category, an album metadata category, a genre metadata category, and a time period metadata category.

7. The method of claim 4 wherein determining the governing criterion for each of the at least a subset of the plurality of playlists comprises, for each playlist of the at least a subset of the plurality of playlists:

correlating metadata for media items in the playlist to provide a correlation factor for each of a plurality of metadata categories; and

identifying a metadata category from the plurality of metadata categories that has a highest correlation factor as the governing criterion for the playlist.

8. The method of claim 4 wherein determining the governing criterion for each of the at least a subset of the plurality of playlists comprises, for each playlist of the at least a subset of the plurality of playlists:

correlating metadata for media items in the playlist to provide a correlation factor for each of a plurality of metadata categories; and

identifying a metadata category from the plurality of metadata categories that has a correlation factor that is greater than a predetermined threshold as the governing criterion for the playlist.

9. The method of claim 4 wherein determining the governing criterion for each of the at least a subset of the plurality of playlists comprises, for at least one playlist of the at least a subset of the plurality of playlists, receiving user input from an associated user defining the governing criterion for the at least one playlist.

10. The method of claim 1 wherein identifying the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree comprises:

determining a governing criterion for each of the at least a subset of the plurality of playlists;

identifying at least two playlists from the at least a subset of the plurality of playlists that have the same governing criterion;

for each playlist of the at least two playlists, obtaining a histogram for the playlist with respect to the governing criterion of the playlist;

determining a correlation factor for the at least two playlists based on a correlation of the histograms for the at least two playlists with respect to the governing criterion of the at least two playlists;

making a determination as to whether to identify the at least two playlists as matching playlists based on the correlation factor; and

identifying the at least two playlists as the at least two matching playlists if the determination is made to identify the at least two playlists as matching playlists based on the correlation factor.

11. The method of claim 1 further comprising:

presenting the aggregate playlist to an associated user; and

enabling the associated user to play the aggregate playlist.

12. The method of claim 1 further comprising:

presenting the aggregate playlist to an associated user; and

enabling the associated user to perform at least one action selected from a group consisting of;

accept the aggregate playlist, reject the aggregate playlist, and modify the aggregate playlist.

13. The method of claim 1 wherein the method is a method of operating a user device and further comprises:

joining a media sharing system comprising a plurality of user devices including the user device connected via a network such that the user device has access to shared media collections hosted by other user devices of the plurality of user devices;

wherein obtaining the plurality of playlists comprises obtaining at least one of the plurality of playlists from the shared media collections and obtaining at least one of the plurality of playlists from a local media collection hosted by the user device.

14. The method of claim 13 wherein identifying the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree comprises:

determining a correlation factor for at least two playlists of the plurality of playlists;

making a determination as to whether the at least two playlists match to at least the desired threshold degree based on the correlation factor; and

identifying the at least two playlists as the at least two matching playlists if the determination is made that the at least two playlists match to at least the desired threshold degree based on the correlation factor;

wherein the method further comprises sharing the correlation factor for the at least two playlists with at least a subset of the other user devices.

15. A computer readable medium storing software for instructing a computing system to:

obtain a plurality of playlists;

identify at least two matching playlists from the plurality of playlists that have content that matches to at least a desired threshold degree; and

aggregate the at least two matching playlists to provide an aggregate playlist.

16. The computer readable medium of claim 15 wherein in order to identify the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree, the software is further adapted to instruct the computing system to:

determine a correlation factor for at least two playlists of the plurality of playlists;

make a determination as to whether the at least two playlists match to at least the desired threshold degree based on the correlation factor; and

identify the at least two playlists as the at least two matching playlists if the determination is made that the at least two playlists match to at least the desired threshold degree based on the correlation factor.

17. The computer readable medium of claim 15 wherein in order to identify the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree, the software is further adapted to instruct the computing system to identify at least two playlists having at least a threshold percentage of media items in common as the at least two matching playlists.

18. The computer readable medium of claim 15 wherein in order to identify the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree, the software is further adapted to instruct the computing system to:

determine a governing criterion for each of at least a subset of the plurality of playlists;

identify at least two playlists from the at least a subset of the plurality of playlists that have the same governing criterion;

make a determination as to whether to identify the at least two playlists as matching playlists based on a correlation of the at least two playlists with respect to the governing criterion of the at least two playlists; and

identify the at least two playlists as the at least two matching playlists if the determination is made to identify the at least two playlists as matching playlists.

19. The computer readable medium of claim 18 wherein the governing criterion for each playlist of the at least a subset of the plurality of playlists is a metadata category for metadata describing media items in the playlist.

20. The computer readable medium of claim 18 wherein for each playlist of the at least a subset of the plurality of playlists, the governing criterion for the playlist is a metadata category for metadata describing media items in the playlist, the metadata category being one of a group consisting of:

an artist metadata category, an album metadata category, a genre metadata category, and a time period metadata category.

21. The computer readable medium of claim 18 wherein in order to determine the governing criterion for each of the at least a subset of the plurality of playlists, the software is further adapted to instruct the computing system to, for each playlist of the at least a subset of the plurality of playlists:

correlate metadata for media items in the playlist to provide a correlation factor for each of a plurality of metadata categories; and

identify a metadata category from the plurality of metadata categories that has a highest correlation factor as the governing criterion for the playlist.

22. The computer readable medium of claim 18 wherein in order to determine the governing criterion for each of the at least a subset of the plurality of playlists, the software is further adapted to instruct the computing system to, for each playlist of the at least a subset of the plurality of playlists:

correlate metadata for media items in the playlist to provide a correlation factor for each of a plurality of metadata categories; and

identify a metadata category from the plurality of metadata categories that has a correlation factor that is greater than a predetermined threshold as the governing criterion for the playlist.

23. The computer readable medium of claim 18 wherein in order to determine the governing criterion for each of the at least a subset of the plurality of playlists, the software is further adapted to instruct the computing system to, for at least one playlist of the at least a subset of the plurality of playlists, receive user input from an associated user defining the governing criterion for the at least one playlist.

24. The computer readable medium of claim 15 wherein in order to identify the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree, the software is further adapted to instruct the computing system to:

determine a governing criterion for each of at least a subset of the plurality of playlists;

identify at least two playlists from the at least a subset of the plurality of playlists that have the same governing criterion;

for each playlist of the at least two playlists, obtain a histogram for the playlist with respect to the governing criterion of the playlist;

determine a correlation factor for the at least two playlists based on a correlation of the histograms for the at least two playlists with respect to the governing criterion of the at least two playlists;

make a determination as to whether to identify the at least two playlists as matching playlists based on the correlation factor; and

identify the at least two playlists as the at least two matching playlists if the determination is made to identify the at least two playlists as matching playlists based on the correlation factor.

25. The computer readable medium of claim 15 wherein the software is further adapted to instruct the computing system to:

present the aggregate playlist to an associated user; and

enable the associated user to play the aggregate playlist.

26. The computer readable medium of claim 15 wherein the software is further adapted to instruct the computing system to:

present the aggregate playlist to an associated user; and

enable the associated user to perform at least one action selected from a group consisting of;

accept the aggregate playlist, reject the aggregate playlist, and modify the aggregate playlist.

27. The computer readable medium of claim 15 wherein the computing system is a user device, and the software is further adapted to instruct the user device to:

join a media sharing system comprising a plurality of user devices including the user device connected via a network such that the user device has access to shared media collections hosted by other user devices of the plurality of user devices;

wherein in order to obtain the plurality of playlists, the software is further adapted to instruct the user device to obtain at least one of the plurality of playlists from the shared media collections and obtain at least one of the plurality of playlists from a local media collection hosted by the user device.

28. The computer readable medium of claim 27 wherein in order to identify the at least two matching playlists from the plurality of playlists that have content that matches to at least the desired threshold degree, the software is further adapted to instruct the user device to:

determine a correlation factor for at least two playlists of the plurality of playlists;

make a determination as to whether the at least two playlists match to at least the desired threshold degree based on the correlation factor; and

identify the at least two playlists as the at least two matching playlists if the determination is made that the at least two playlists match to at least the desired threshold degree based on the correlation factor;

wherein the software is further adapted to instruct the user device to share the correlation factor for the at least two playlists with at least a subset of the other user devices.

29. A system comprising:

a) a storage device adapted to store a plurality of playlists; and

b) a control system associated with the storage device and adapted to;

i) identify at least two matching playlists from the plurality of playlists that have content that matches to at least a desired threshold degree; and

ii) aggregate the at least two matching playlists to provide an aggregate playlist.