SUMMARY PRESENTATION OF MEDIA CONSUMPTION

• US 20110246383A1
• Filed: 03/30/2010
• Published: 10/06/2011
• Est. Priority Date: 03/30/2010
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Gibson, Chad, Dayal, Arjun
• Application Number:
  US12/750,226
• Publication Number:
  US 20110246383A1
• Time in Patent Office: Days
• US Class Current: 705/319
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

Summary presentation of media consumption is described herein. An exemplary method for generating a personal highlight reel includes receiving personal consumption data indicating one or more media units consumed by a user computing device, and storing the personal consumption data in association with a user identifier. The method further includes identifying one or more relevant personal media units based on the personal consumption data. The method further includes generating a personal highlight reel including one or more personal media events representative of the one or more relevant personal media units, and outputting the personal highlight reel.

Claims

1. A method for generating a personal highlight reel comprising:

receiving personal consumption data indicating one or more media units consumed by a user computing device,

storing the personal consumption data in association with a user identifier,

identifying one or more relevant personal media units based on the personal consumption data,

generating a personal highlight reel including one or more personal media events representative of the one or more relevant personal media units, and

outputting the personal highlight reel.

2. The method of claim 1, where the identifying includes identifying one or more media units that have been consumed in association with the user identifier a threshold number of times, consumed in association with the user identifier for a threshold duration, rated in association with the user identifier, or recommended in association with the user identifier.

3. The method of claim 1, where the one or more personal media events include one or more of a media trailer, a media synopsis, a popular media segment, and an editorially-identified media segment.

4. The method of claim 1, further comprising determining friend identifiers having a friend connection to the user identifier in a social graph.

5. The method of claim 4, where the outputting includes sending the personal highlight reel to at least one friend computing device associated with at least one of the friend identifiers.

6. The method of claim 4, further comprising:

receiving friend consumption data indicating one or more friend media units consumed by one or more friend computing devices in association with the friend identifiers,

identifying relevant community media units from the friend consumption data,

filtering the relevant community media units based on overlap between the relevant community media units and the one or more media units consumed by the user computing device to thereby generate filtered relevant community media units,

generating a community highlight reel including friend media events representative of the filtered relevant community media units, and

outputting the community highlight reel.

7. A method for generating a targeted friend highlight reel at a media consumption aggregator, including:

receiving friend consumption data indicating friend media units consumed in association with respective friend identifiers;

storing the friend consumption data in association with the respective friend identifiers;

identifying one or more relevant friend media units based on the friend consumption data of at least one of the friend identifiers;

generating a targeted friend highlight reel including friend media events representative of the one or more relevant friend media units; and

outputting the targeted friend highlight reel.

8. The method of claim 7, further comprising receiving a targeted friend highlight reel request specifying the at least one of the friend identifiers and, in response, carrying out the identifying, generating, and outputting.

9. The method of claim 7, further comprising receiving personal consumption data indicating media units consumed in association with a user identifier, where the generating of the targeted friend highlight reel includes excluding friend media events representative of relevant friend media units that overlap with media units consumed in association with the user identifier.

10. The method of claim 7, where the outputting of the targeted friend highlight reel includes outputting targeted contextual metadata specifying one or more of the friend identifiers associated with each of the friend media events.

11. The method of claim 7, where outputting of the targeted friend highlight reel includes outputting targeted contextual metadata including one or more of a consumption statistic, a rating, and a recommendation associated with each of the friend media events.

12. The method of claim 7, further comprising outputting an interactive schedule of upcoming events associated with the friend media events of the targeted friend highlight reel.

13. The method of claim 12, further comprising receiving a selected upcoming event of the interactive schedule and, in response, scheduling an appointment related to the selected upcoming event.

14. A method for generating a community highlight reel at a media consumption aggregator, comprising:

receiving personal consumption data indicating media units consumed by a user computing device;

determining friend identifiers associated with a user identifier based on a social graph of friend connections between the user identifier and each of the friend identifiers;

receiving friend consumption data indicating media units consumed by one or more friend computing devices;

storing the personal consumption data in association with the user identifier and the friend consumption data in association with respective friend identifiers;

identifying relevant community media units from the friend consumption data, based at least on a consumption frequency;

filtering the relevant community media units based on overlap between the relevant community media units and the media units consumed by the user computing device to thereby generate filtered relevant community media units;

compiling a community highlight reel including community media events representative of the filtered relevant community media units, outputting the community highlight reel for presentation.

15. The method of claim 14, further comprising receiving a request to schedule an appointment related to one of the community media events of the community highlight reel.

16. The method of claim 14, where the identifying of relevant community media units is based on one or more of a threshold number of times a particular media unit has been consumed in a time period and a threshold number of consumptions of the particular media unit in association with the friend identifiers.

17. The method of claim 14, where the identifying of relevant community media units is further based on a rating or a recommendation of a particular media unit in association with one or more of the friend identifiers.

18. The method of claim 14, wherein the community media events include one or more of a media trailer, a media synopsis, a popular media segment, and an editorially-identified media segment.

19. The method of claim 14, further comprising determining a strength of the friend connections between the user identifier and each of the friend identifiers, where the identifying of relevant community media units is further based on the strength of friend connections between the user identifier and each of the friend identifiers.

20. The method of claim 14, where the compiling includes linking community contextual metadata to each of the community media events, the community contextual metadata indicating one or more of the friend identifiers associated with each of the community media events and an amount of consumption of each of the filtered relevant community media unit in association with the one or more of the friend identifiers associated with each of the community media events.