Intelligent default weighting process for criteria utilized to score media content items

• US 8,224,856 B2
• Filed: 11/26/2007
• Issued: 07/17/2012
• Est. Priority Date: 11/26/2007
• Status: Active Grant

• Current Assignee: Jolly Seven, Series 70 of Allied Security Trust I (Allied Security Trust)
• Original Assignee: Abo Enterprises, LLC (Concert Technology Corporation)
• Inventors: Purdy, Sean
• Primary Examiner(s): Ehichioya, Fred I
• Application Number:
  US11/944,962
• Publication Number:
  US 20090138505A1
• Time in Patent Office: 1,695 Days
• Field of Search: 707/609, 707/705, 707/765, 707/791, 707/802
• US Class Current: 707/791
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/40 of multimedia data, e.g. slideshows comprising image and additional audio data retrieval of still image data G06F16/50; retrieval of audio data G06F16/60; retrieval of video data G06F16/70
• 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: G06F 16/735 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/738 Presentation of query results
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: G11B 27/34 Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/4826 using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: Y10S 707/916 Audio

Abstract

A system and method are provided for intelligently, or programmatically, assigning weights for one or more criterion utilized to score media content items based on an analysis of a group of media content items. In general, scoring criteria to be used to score media content items for a user are defined. A group of media content items associated with the user is then analyzed with respect to the criteria to provide results such as a number or percentage of media content items from the group of media content items that satisfy each of the scoring criteria. Based on the results of the analysis, a weight is assigned to each of the scoring criteria. Thereafter, media content items are scored for the user as a function of the weights assigned to the scoring criteria.

Claims

1. A computer implemented method comprising:

defining a plurality of criteria;

analyzing, by a computing device, a group of media content items with respect to the plurality of criteria to provide analysis results, wherein the group of media content items is associated with a user profile, wherein analyzing, by the computing device, the group of media content items with respect to the plurality of criteria comprises;

determining a number of media content items from the group of media content items satisfying each of the plurality of criteria; and

providing the number of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results;

programmatically assigning, by the computing device, weights to the plurality of criteria for the user profile as a function of the analysis results; and

scoring, by the computing device, at least one media content item as a function of the weights assigned to the plurality of criteria.

2. The method of claim 1 wherein scoring, by the computing device, the at least one media content item comprises, for each media content item from the at least one media content item:

identifying, by the computing device, at least one criterion from the plurality of criteria satisfied by the media content item; and

scoring, by the computing device, the media content item as a function of the weight assigned to the at least one criterion.

3. The method of claim 1 further comprising:

after programmatically assigning, by the computing device, the weights to each of the plurality of criteria, displaying, with a user interface of the computing device, the weights assigned to each of the plurality of criteria; and

enabling a user to manually adjust the weights assigned to the plurality of criteria displayed on the user interface.

4. The method of claim 1 wherein scoring, on the computing device, the at least one media content item comprises scoring, by the computing device, a plurality of media content items in a playlist of a user as a function of the weights assigned to the plurality of criteria to provide scores for the plurality of media content items in the playlist, the method further comprising sorting, by the computing device, the plurality of media content items in the playlist based on the scores.

5. The method of claim 1 further comprising:

receiving, at the computing device, wherein the computing device is associated with a user, a plurality of recommendations via a social recommendation system, wherein the recommendations identify a plurality of media content items; and

wherein scoring, by the computing device, the at least one media content item as the function of the weights assigned to the plurality of criteria comprises scoring the plurality of media content items identified by the plurality of recommendations as a function of the weights assigned to the plurality of criteria to provide scores for the plurality of media content items.

6. The method of claim 5 further comprising programmatically effecting, by the computing device, playback of the plurality of media content items identified by the plurality of recommendations based on the scores for the plurality of media content items.

7. The method of claim 1 wherein scoring, by the computing device, the at least one media content item comprises scoring a plurality of media content items available to a user via a media distribution service to provide scores for the plurality of media content items, the method further comprising:

identifying, by the computing device, at least one media content item to recommend to the user from the plurality of media content items available to the user based on the scores;

determining, by the computing device, a recommendation of the at least one media content item; and

displaying, on a user interface, the recommendation of the at least one media content item.

8. The method of claim 1 wherein each of the plurality of criteria is one of the group consisting of:

a user-defined criterion and a system-defined criterion.

9. The method of claim 1 wherein the group of media content items comprises a media collection related to the user profile.

10. The method of claim 1 wherein the group of media content items comprises a plurality of media content items identified by at least one playlist related to the user profile.

11. The method of claim 1 wherein the group of media content items comprises a subset of a media collection of a user.

12. The method of claim 1 wherein the group of media content items comprises a plurality of media content items previously obtained by a user from a media distribution service.

13. The method of claim 1 wherein:

programmatically assigning, by the computing device, the weights to the plurality of criteria as the function of the analysis results comprises translating the analysis results for the plurality of criteria into the weights for the plurality of criteria.

14. The method of claim 1 wherein the analysis results are indicative of a relevancy of each of the plurality of criteria to a user associated with the user profile, and programmatically assigning, by the computing device, the weights to the plurality of criteria as the function of the analysis results comprises:

assigning, by the computing device, a maximum weight as the weight for a first criterion from the plurality of criteria having a greatest relevancy to the user associated with the user profile; and

determining, by the computing device, the weights for at least one remaining criterion from the plurality of criteria as a function of the relevancy of the at least one remaining criterion to the user associated with the user profile as compared to the relevancy of the first criterion to the user associated with the user profile.

15. The method of claim 1 further comprising:

displaying, on a user interface of the computing device, the analysis results; and

receiving, at the user interface, an action in response to display of the analysis results.

16. The method of claim 15 wherein the action is one of the group consisting of:

initiating playback of ones of the group of media content items satisfying a select one of the plurality of criteria; and

initiating playback of ones of the group of media content items satisfying a select combination of at least two of the plurality of criteria.

17. The method of claim 1 further comprising:

displaying, on a user interface of the computing device, a list of media content items from the group of media content items that satisfies a select one of the plurality of criteria; and

displaying the list of media content items from the group of media content items that satisfies a select combination of at least two of the plurality of criteria.

21. The method of claim 1 wherein the computing device includes a server, and the assigning weights to the plurality of criteria as the function of the analysis results and the scoring at least one media content item as the function of the weights assigned to the plurality of criteria are implemented on the server.

22. The method of claim 1 wherein the computing device includes a user device, and the assigning weights to the plurality of criteria as the function of the analysis results and the scoring at least one media content item as the function of the weights assigned to the plurality of criteria are implemented on the user device.

18. A system comprising:

a processor in communication with a memory, the processor configured to execute a plurality of computer program modules, the memory including the plurality of computer program modules executable on the processor, the computer program modules including;

a weight assignment function adapted;

to analyze a group of media content items with respect to a plurality of criteria to provide analysis results, by determining a number of media content items from the group of media content items satisfying each of the plurality of criteria, and providing the number of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results; and

to programmatically assign weights to the plurality of criteria for the user profile as a function of the analysis results; and

a scoring function adapted to score at least one media content item as a function of the weights assigned to the plurality of criteria.

19. The system of claim 18 wherein the system comprises a server, and the weight assignment function and the scoring function are implemented on the server.

20. The system of claim 18 wherein the system comprises a user device, and the weight assignment function and the scoring function are implemented on the user device.

23. A computer implemented method, comprising:

defining a plurality of criteria; and

analyzing, by a computing device, a group of media content items with respect to the plurality of criteria to provide analysis results, wherein analyzing, by the computing device, the group of media content items with respect to the plurality of criteria comprises;

determining a number of media content items from the group of media content items satisfying each of the plurality of criteria;

providing the number of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results;

programmatically assigning, by the computing device, weights to the plurality of criteria as a function of the analysis results; and

scoring, by the computing device, at least one media content item as a function of the weights assigned to the plurality of criteria.

24. A computer implemented method, comprising:

defining a plurality of criteria; and

analyzing, by a computing device, a group of media content items with respect to the plurality of criteria to provide analysis results, wherein analyzing, by the computing device, the group of media content items with respect to the plurality of criteria comprises;

determining a percentage of media content items from the group of media content items satisfying each of the plurality of criteria;

providing the percentage of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results;

programmatically assigning, by the computing device, weights to the plurality of criteria as a function of the analysis results; and

scoring, by the computing device, at least one media content item as a function of the weights assigned to the plurality of criteria.

25. A system comprising:

a processor in communication with a memory, the processor configured to execute a plurality of computer program modules, the memory including the plurality of computer program modules executable on the processor, the computer program modules including;

a weight assignment function adapted;

to analyze a group of media content items with respect to a plurality of criteria to provide analysis results by;

determining a number of media content items from the group of media content items satisfying each of the plurality of criteria; and

providing the number of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results; and

to programmatically assign weights to the plurality of criteria as a function of the analysis results; and

a scoring function adapted to score at least one media content item as a function of the weights assigned to the plurality of criteria.

26. A system comprising:

a processor in communication with a memory, the processor configured to execute a plurality of computer program modules, the memory including the plurality of computer program modules executable on the processor, the computer program modules including;

a weight assignment function adapted;

to analyze a group of media content items with respect to a plurality of criteria to provide analysis results by;

determining a percentage of media content items from the group of media content items satisfying each of the plurality of criteria; and

providing the percentage of media content items from the group of media content items satisfying each of the plurality of criteria as the analysis results; and

to programmatically assign weights to the plurality of criteria as a function of the analysis results; and

a scoring function adapted to score at least one media content item as a function of the weights assigned to the plurality of criteria.