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

• US 9,164,994 B2
• Filed: 09/30/2014
• Issued: 10/20/2015
• 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): TRAN, ANHTAI V
• Application Number:
  US14/501,138
• Publication Number:
  US 20150019572A1
• Time in Patent Office: 385 Days
• Field of Search: None
• US Class Current: 1/1
• 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 device 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 as a function of the weights assigned to the scoring criteria.

Claims

1. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define a plurality of criteria;

analyze a group of media content items with respect to the plurality of criteria to determine a number of media content items that satisfy each of the plurality of criteria to provide analysis results;

programmatically assign weights to the plurality of criteria as a function of the analysis results, wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items; and

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

2. The device of claim 1, wherein the group of media content items are associated with a profile, the weights are programmatically assigned to the plurality of criteria for the profile as a function of the analysis results, and the at least one media content item is scored as a function of the weights assigned to the plurality of criteria for the profile.

3. The device of claim 1, wherein the device is further operative to:

adjust the weights assigned to the plurality of criteria before the scoring of the at least one media content item.

4. The device of claim 1, wherein to score the at least one media content item, the device is operative to score a plurality of media content items in a playlist of the profile 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.

5. The device of claim 4, wherein the device is further operative to:

transmit at least one media content item based on the scoring.

6. The device of claim 1, wherein the device is further operative to:

receive a plurality of recommendations from a social recommendation system, wherein the recommendations identify the group of media content items; and

to score the at least one media content item, the device is operative to score the group 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 group of media content items.

7. The device of claim 1, wherein to score the at least one media content item, the device is operative to score a plurality of media content items from a media distribution service to provide scores for the plurality of media content items, and the device is further operative to:

identify at least one media content item to recommend from the plurality of media content items available based on the scores; and

recommend the at least one media content item.

8. The device of claim 1, wherein the group of media content items comprises a plurality of media content items identified by at least one playlist.

9. The device of claim 1, wherein the group of media content items comprises a plurality of media content items previously obtained from a media distribution service.

10. The device of claim 1, wherein the group of media content items are associated with a profile and the analysis results are indicative of a relevancy of each of the plurality of criteria to the profile, and to programmatically assign the weights to the plurality of criteria as a function of the analysis results, the device is operative to:

assign maximum weight as the weight for a first criterion from the plurality of criteria having a greatest relevancy to the profile; and

determine 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 profile as compared with the relevancy of the first criterion to the profile.

11. The device of claim 1, wherein the group of media content items includes movies.

12. The device of claim 1, wherein the group of media content items includes songs.

13. The device of claim 1, wherein the plurality of criteria includes time periods.

14. The device of claim 1, wherein the plurality of criteria includes genre.

15. The device of claim 1, wherein the plurality of criteria includes recommendations received from a social network.

16. The device of claim 1, wherein the plurality of criteria includes a source of the media content items.

17. The device of claim 16, wherein the source of the media content items includes a subscription service.

18. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define on the computer a plurality of criteria;

programmatically assign weights to the plurality of criteria based on a degree of similarity between a plurality of profiles wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items; and

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

19. The device of claim 18, wherein the degree of similarity may be determined as a function of matching parameters between the plurality of profiles.

20. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define a plurality of criteria;

programmatically assign weights to the plurality of criteria as a function of a total number of media content items received from a recommender as compared to a number of recommended media content items that have been played, wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items; and

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

21. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define a plurality of criteria;

analyze a group of media content items with respect to the plurality of criteria to determine a percentage of media content items that satisfy each of the plurality of criteria to provide analysis results;

programmatically assign weights to the plurality of criteria as a function of the analysis results wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items; and

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

22. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define a plurality of criteria;

analyze a group of media content items with respect to the plurality of criteria to determine a number of media content items that satisfy each of the plurality of criteria to provide analysis results;

programmatically assign weights to the plurality of criteria as a function of the analysis results wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items;

score at least one media content item as a function of the weights assigned to the plurality of criteria; and

recommend at least one media content item based on the scoring.

23. A device for scoring media items comprising:

a communication interface for communicating over a network;

at least one processor;

memory containing software executable by the at least one processor whereby the device is operative to;

define a plurality of criteria that include recommender and source;

analyze a group of media content items with respect to the plurality of criteria to determine a number of media content items that satisfy each of the plurality of criteria to provide analysis results;

programmatically assign weights to the plurality of criteria as a function of the analysis results, wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items;

score at least one media content item as a function of the weights assigned to the plurality of criteria; and

sort songs in a playlist based on the scoring of the at least one media item.

24. The device of claim 23, wherein the source is a social network.

25. A system comprising:

means for defining a plurality of criteria;

means for analyzing a group of media content items with respect to a plurality of criteria to determine a number of media content items that satisfy each of the plurality of criteria to provide analysis results;

means for programmatically assigning weights to the plurality of criteria as a function of the analysis results, wherein the weights are normalized according to the criteria having the greatest number or percentage of media content items; and

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