GROUPING AND WEIGHTING MEDIA CATEGORIES WITH TIME PERIODS

• US 20090138457A1
• Filed: 11/26/2007
• Published: 05/28/2009
• Est. Priority Date: 11/26/2007
• Status: Abandoned Application

• Current Assignee: Napo Enerprises, LLC (Concert Technology Corporation)
• Original Assignee: Concert Technology Corporation
• Inventors: Askey, Waymen J.
• Application Number:
  US11/944,949
• Publication Number:
  US 20090138457A1
• Time in Patent Office: Days
• US Class Current: 1/1
• 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

Abstract

A method and system for scoring media items are provided. In general, a number of media categories are defined. Each of the media categories is defined by at least one criterion such as at least one genre, at least one artist, or the like, or any combination thereof. For each of the media categories, weights are assigned to a number of time periods. Thus, a weight assigned to a particular time period, such as a decade, may vary between media categories. In one embodiment, the criteria defining the media categories and the weights assigned to the time periods within each of the media categories are user-defined. Media items are then matched to the media categories and scored as a function of the weights assigned to the time periods for the matching media categories.

Claims

1. A method of scoring a media item comprising:

for each media category in a plurality of media categories, assigning a time period weight to each time period in a plurality of time periods;

identifying a matching media category for the media item from the plurality of media categories;

identifying a matching time period for the media item from the plurality of time periods associated with the matching media category; and

assigning a score to the media item as a function of the time period weight assigned to the matching time period for the matching media category.

2. The method of claim 1 wherein the time period weights assigned to the plurality of time periods for each media category in the plurality of media categories are independent from the time period weights assigned to the plurality of time periods for each other media category in the plurality of media categories.

3. The method of claim 1 wherein a category weight is assigned to each of the plurality of media categories, and scoring the media item comprises scoring the media item as a function of the category weight assigned to the matching media category and the time period weight assigned to the matching time period for the matching media category.

4. The method of claim 1 wherein for each media category in the plurality of media categories, assigning the time period weight to each time period in the plurality of time periods comprises enabling an associated user to assign the time period weight to each time period in the plurality of time periods.

5. The method of claim 1 wherein for each media category in the plurality of media categories, assigning the time period weight to each time period in the plurality of time periods comprises programmatically assigning the time period weight to each time period in the plurality of time periods.

6. The method of claim 5 wherein programmatically assigning the time period weight to each time period in the plurality of time periods comprises programmatically assigning the time period weight assigned to each time period in the plurality of time periods based on an analysis of at least one of a group consisting of:

a media collection of an associated user, at least one playlist of the associated user, and a play history of the associated user.

7. The method of claim 1 wherein if there are a plurality of matching media categories, the method further comprises:

identifying the plurality of matching media categories for the media item from the plurality of media categories; and

for each one of the plurality of matching media categories,

identifying a matching time period for the media item from the plurality of time periods for the one of the plurality of matching media categories; and

assigning a score to the media item for the one of the plurality of matching media categories as a function of the time period weight assigned to the matching time period for the one of the plurality of matching media categories.

8. The method of claim 7 further comprising selecting a highest score from the scores for the plurality of matching media categories as a score for the media item.

9. The method of claim 1 further comprising repeating the steps of identifying a matching media category, identifying a matching time period, and assigning a score to the media item for each of a plurality of media items.

10. The method of claim 1 wherein identifying the matching media category for the media item comprises comparing metadata associated with the media item and at least one criterion defining the matching media category.

11. The method of claim 10 wherein each media category in the plurality of media categories including the matching media category is defined by at least one criterion selected from a group consisting of:

music genre, music artist, video genre, and video participant.

12. The method of claim 10 wherein the metadata associated with the media item comprises at least one data item selected from a group consisting of:

a music genre for the media item if the media item is a song, a music artist of the media item if the media item is a song, a video genre of the media item if the media item is a video, and a video participant appearing in the media item if the media item is a video.

13. The method of claim 1 wherein the plurality of time periods for each one of the plurality of media categories is the same as the plurality of time periods for each other of the plurality of media categories.

14. The method of claim 1 wherein identifying the matching time period for the media item comprises identifying the matching time period for the media item from the plurality of time periods for the matching media category based on one of a group consisting of:

a release date of the media item and a date of creation of the media item.

15. The method of claim 1 wherein the score of the media item is used in a recommendation system.

16. The method of claim 1 further comprising:

determining whether to recommend the media item to a user based on the score; and

recommending the media item to the user if a determination is made to recommend the media item to the user.

17. The method of claim 1 wherein the media item is a media item identified by a recommendation received in a peer-to-peer (P2P) social recommendation system, and the method further comprises determining whether to obtain the media item from a remote media content distribution service based on the score.

18. The method of claim 1 wherein the media item is a media item identified by a recommendation received in a peer-to-peer (P2P) social recommendation system, and the method further comprises prioritizing the media item in a playlist based on the score.

19. The method of claim 1 further comprising:

repeating the steps of identifying a matching media category, identifying a matching time period, and assigning a score to the media item for each of a plurality of media items; and

prioritizing playback of the plurality of media items based on the scores assigned to the plurality of media items.

20. The method of claim 1 further comprising assigning a score to the media item based on a default weight if a matching media category from the plurality of media categories is unable to be identified.

21. The method of claim 1 further comprising, for each media category in the plurality of media categories:

obtaining original weights for a plurality of original time periods for the media category; and

applying a smoothing function to the original weights for the plurality of original time periods for the media category to provide the plurality of time periods for the media category and the time period weights assigned to the plurality of time periods for the media category.

22. A system comprising:

a control system adapted to;

for each media category in a plurality of media categories, assign a time period weight to each time period in a plurality of time periods;

identify a matching media category for a media item from the plurality of media categories;

identify a matching time period for the media item from the plurality of time periods for the matching media category; and

assign a score to the media item as a function of the time period weight assigned to the matching time period for the matching media category.

23. The system of claim 22 wherein the time period weights assigned to the plurality of time periods for each media category in the plurality of media categories are independent from the time period weights assigned to the plurality of time periods for each other media category in the plurality of media categories.

24. The system of claim 22 wherein a category weight is assigned to each of the plurality of media categories, and the control system is adapted to score the media item as a function of the category weight assigned to the matching media category and the time period weight assigned to the matching time period for the matching media category.

25. A computer-readable medium, comprising instructions for instructing a computer to:

for each media category in a plurality of media categories, assigning a time period weight to each time period in a plurality of time periods;

identify a matching media category for a media item from the plurality of media categories;

identify a matching time period for the media item from the plurality of time periods for the matching media category; and

assign a score to the media item as a function of the time period weight assigned to the matching time period for the matching media category.