Interest profiles for audio and/or video streams

• US 8,392,238 B2
• Filed: 12/15/2011
• Issued: 03/05/2013
• Est. Priority Date: 06/05/2007
• Status: Active Grant

• Current Assignee: Nokia Technologies Oy (Nokia Corporation)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Amento, Brian, Harrison, Christopher, Stead, Larry
• Primary Examiner(s): Jasmin, Lynda
• Assistant Examiner(s): Miller, Alan S
• Application Number:
  US13/326,909
• Publication Number:
  US 20120089437A1
• Time in Patent Office: 446 Days
• Field of Search: 705 711- 729, 705 731- 742, 705 261- 267, 707/689, 709220-228
• US Class Current: 705/7.29
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34

Abstract

A method includes receiving at least one criterion to identify at least one media item. The method includes determining one or more media items that satisfy the at least one criterion. The method includes determining a group interest profile for each of the one or more media items. A particular group interest profile indicates a portion-varying level of group interest toward the at least one media item. The particular group interest profile is based on a plurality of ratings input by a plurality of members of a group for a plurality of portions of the at least one media item. The method includes determining a plurality of high-interest portions of the at least one media item based on the plurality of group interest profiles. The method also includes creating a high-interest media item that combines the plurality of high-interest portions.

Claims

1. A method comprising:

identifying a set of streaming media items via a processor, wherein each streaming media item comprises a corresponding plurality of portions;

determining, for each streaming media item of the set of streaming media items, a corresponding group interest profile, wherein each group interest profile comprises a plurality of group interest levels, wherein each of each streaming media item is associated with a corresponding group interest level of the plurality of group interest levels;

identifying streaming high-interest portions comprising particular portions selected from the set of streaming media items, wherein the particular portions are selected based on the associated group interest levels of the corresponding group interest profiles; and

creating a high-interest streaming media item, wherein the high-interest streaming media item comprises a succession of the streaming high-interest portions.

2. The method of claim 1, wherein identifying the streaming high-interest portions comprises determining that the group interest level associated with each particular portion exceeds a threshold.

3. The method of claim 1, further comprising sending the high-interest streaming media item to a device of a user.

4. The method of claim 1, wherein each group interest profile is based on ratings received from members of an associated group.

5. The method of claim 4, wherein the members of the associated group are selected based on input received from a user.

6. The method of claim 4, wherein the members of the associated group are selected based on a commonality of interests with a user.

7. The method of claim 4, wherein a particular rating of the received ratings is adjustable based on input received from a particular member of the associated group via a rating button.

8. The method of claim 7, wherein the particular rating decreases towards a nominal level based on an occurrence of a time period during which an input is not received via the rating button.

9. The method of claim 4, wherein each rating of the ratings received from the members of the associated group is associated with a corresponding portion of the corresponding streaming media item.

10. The method of claim 1, wherein the set of streaming media items is identified based on a particular time period of programming.

11. A non-transitory computer readable medium comprising instructions, that when executed by a processor, cause the processor to perform a method comprising:

identifying a set of streaming media items, wherein each streaming media item comprises a corresponding plurality of portions;

determining, for each streaming media item of the set of streaming media items, a corresponding group interest profile, wherein each group interest profile comprises a plurality of group interest levels, wherein each portion of each streaming media item is associated with a corresponding group interest level of the plurality of group interest levels;

identifying streaming high-interest portions comprising particular portions selected from the set of streaming media items, wherein the particular portions are selected based on the associated group interest levels of the corresponding group interest profiles; and

creating a high-interest streaming media item, wherein the high-interest streaming media item comprises a succession of the streaming high-interest portions.

12. The non-transitory computer readable medium of claim 11, wherein the method further comprises sending the high-interest streaming media item to a device of a user.

13. The non-transitory computer readable medium of claim 12, wherein the method further comprises selecting members of an associated group based on a commonality of interests with the user.

14. The non-transitory computer readable medium of claim 13, wherein the method further comprises selecting members of the associated group based on input received from the user.

15. The non-transitory computer readable medium of claim 11, wherein identifying the streaming high-interest portions comprises determining that the group interest level associated with each particular portion exceeds a threshold.

16. The non-transitory computer readable medium of claim 11, wherein each group interest profile is based on ratings received from members of an associated group.

17. The non-transitory computer readable medium of claim 16, wherein a particular rating of the received ratings is adjusted based on input received from a rating button of a particular member of the associated group.

18. The non-transitory computer readable medium of claim 17, wherein a particular rating increases by an amount that corresponds to a number of selections of a positive rating button during playback of a specific portion of the set of streaming media items.

19. An apparatus comprising:

a processor that is configured to;

identify a set of streaming media items, wherein each streaming media item comprises a corresponding plurality of portions;

determine, for each streaming media item of the set of streaming media items, a corresponding group interest profile, wherein each group interest profile comprises a plurality of group interest levels, wherein each portion of each streaming media item is associated with a corresponding group interest level of the plurality of group interest levels;

identify streaming high-interest portions comprising particular portions selected from the set of streaming media items, wherein the particular portions are selected based on the associated group interest levels of the corresponding group interest profiles; and

create a high-interest streaming media item, wherein the high-interest streaming media item comprises a succession of the streaming high-interest portions.

20. New The apparatus of claim 19, wherein each group interest profile is based on ratings received from members of an associated group, wherein each rating is associated with a corresponding portion of the corresponding streaming media item.