Sorting media files using dynamic passive recognition techniques

• US 20060254409A1
• Filed: 05/10/2006
• Published: 11/16/2006
• Est. Priority Date: 05/11/2005
• Status: Abandoned Application

• Current Assignee: Ryan L. Withop
• Original Assignee: Ryan L. Withop
• Inventors: Withop, Ryan L.
• Application Number:
  US11/432,195
• Publication Number:
  US 20060254409A1
• Time in Patent Office: Days
• US Class Current: 84/601
• CPC Class Codes: G06F 16/435 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G10H 2240/131 Library retrieval, i.e. searching a database or selecting a specific musical piece, segment, pattern, rule or parameter set

Abstract

A method comprises storing information regarding content previously played by a user, the information including a playback frequency; determining new content similar to the content previously played; scoring the new content based on the stored information; and sorting the new content based on the scoring. The method may comprise computing a frequency of relatedness based on the number of times new content was determined to be similar, and may score the new content based on the frequency of relatedness. The content may be considered previously played if the playback time exceeded a wait time. The new content may include repeats, a current or future scheduled broadcast, content available for download, and/or content stored locally. The determining step may include comparing channel number, metadata, content frequency, genre, author, artist, album and/or keywords. The method may comprise generating a weighting factor magnifying relevance of the new content, possibly based on desired variety.

Claims

1. A method comprising:

storing information regarding media content previously played by a user, the information including a playback frequency;

determining new media content similar to the media content previously played by the user;

scoring the new media content based on the stored information; and

sorting the new media content based on the scoring.

2. The method of claim 1, wherein the media content includes one of audio, video and multimedia content.

3. The method of claim 1,

further comprising computing a frequency of relatedness based on the number of times the determining step identified the new media content as similar to the media content previously played, and

wherein the scoring step includes scoring the new media content based on the stored information and on the frequency of relatedness.

4. The method of claim 1, wherein media content is considered previously played if the playback time exceeded a wait time.

5. The method of claim 1, wherein the new media content includes repeats of media content previously played.

6. The method of claim 1, wherein the new media content includes a future scheduled broadcast.

7. The method of claim 1, wherein the new media content includes a current broadcast.

8. The method of claim 1, wherein the new media content includes media content available for download from a remote database.

9. The method of claim 1, wherein the new media content includes media content stored in a local database.

10. The method of claim 1, wherein the determining includes comparing at least one of channel number, metadata, content frequency, content genre, author, artist, album and keywords.

11. The method of claim 1, further comprising generating a weighting factor magnifying relevance of the new media content.

12. The method of claim 11, wherein the generating a weighting factor includes determining an amount of desired variety.

13. The method of claim 1, further comprising generating a playlist based on the sorting, the playlist being a subset of the new media content identified as similar.

14. A system comprising:

a database for storing information regarding media content previously played by a user, the information including a playback frequency;

a related media finder for determining new media content similar to the media content previously played by the user;

a scoring module for scoring the new media content based on the stored information; and

a sorting module for sorting the new media content based on the scoring.

15. The system of claim 14, wherein the media content includes one of audio, video and multimedia content.

16. The system of claim 14, wherein

the scoring module determines a frequency of relatedness based on the number of times the related media finder identified the new media content as similar to the media content previously played, and

the scoring module scores the new media content based on the stored information and on the frequency of relatedness.

17. The system of claim 14, further comprising a playback extractor that determines media content previously played if the playback time exceeded a wait time and that stores the media content previously played into the database.

18. The system of claim 14, wherein the new media content includes repeats of media content previously played.

19. The system of claim 14, wherein the new media content includes a current broadcast.

20. The system of claim 14, wherein the new media content includes a future scheduled broadcast.

21. The system of claim 14, wherein the new media content includes media content available for download from a remote database.

22. The system of claim 14, wherein the new media content includes media content stored in a local database.

23. The system of claim 14, wherein the related media finder determines new media content by comparing at least one of channel number, metadata, content frequency, content genre, author, artist, album and keywords.

24. The system of claim 14, wherein the scoring module scores new media content by generating a weighting factor magnifying relevance of the new media content.

25. The system of claim 24, wherein the scoring module generates the weighting factor based on an amount of desired variety.

26. The system of claim 24, wherein the sorting module sorts new media content by modifying the weighting factor.

27. The system of claim 26, wherein the sorting module modifies the weighting factor based on an amount of desired variety.

28. The system of claim 14, further comprising a sorting module for generating a playlist based on the sorting generated by sorting module, the playlist being a subset of the new media content identified as similar.

29. A system comprising:

means for storing information regarding media content previously played by a user, the information including a playback frequency;

means for determining new media content similar to the media content previously played by the user;

means for scoring the new media content based on the stored information; and

means for sorting the new media content based on the scoring.