EVENT RECOMMENDATION SERVICE

• US 20100325205A1
• Filed: 06/17/2009
• Published: 12/23/2010
• Est. Priority Date: 06/17/2009
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Jensen, Scott, Weare, Christopher B., Gibson, Chad C., Evans, Christopher A., Murphy, Shawn M.
• Application Number:
  US12/486,580
• Publication Number:
  US 20100325205A1
• Time in Patent Office: Days
• US Class Current: 709/204
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

An event recommendation service is described. In embodiments, selection data that correlates to media content selected by a user, location data that corresponds to a location of the user, and event data is received. A recommendation for an event that the user is likely to attend and that is proximate the location of the user can be generated by aggregating the selection data, the location data, and the event data. The recommendation can then be communicated to a user device as a calendar entry, an email message, a text message, and/or an html page for display to inform the user of the event.

Claims

1. A computer-implemented method, comprising:

communicating selection data that correlates to media content selected by a user to a service layer;

communicating location data that corresponds to a location of the user to the service layer; and

receiving, from the service layer, a recommendation for an event that the user is likely to attend and that is proximate the location of the user, the recommendation being generated based at least on the selection data and the location data.

2. The computer-implemented method as recited in claim 1, wherein the selection data correlates to music that has been rendered or downloaded, and wherein the recommendation is for the event that the user is likely to attend based on user preferences and interaction with the music.

3. The computer-implemented method as recited in claim 1, wherein the recommendation for the event includes a list of one or more persons known to the user and that are scheduled to attend the event.

4. The computer-implemented method as recited in claim 1, wherein the recommendation for the event includes a list of one or more persons known to the user and that are likely to attend the event.

5. The computer-implemented method as recited in claim 4, wherein the list of one or more persons known to the user and that are likely to attend the event includes a list of one or more reasons that each of the persons are likely to attend the event.

6. The computer-implemented method as recited in claim 4, further comprising:

receiving a selection of a person known to the user that is likely to attend the event; and

communicating an invitation to the event to the person.

7. The computer-implemented method as recited in claim 1, wherein the recommendation for the event is received as at least one of a calendar entry, an email message, a text message, or an html page for display.

8. The computer-implemented method as recited in claim 1, wherein the location data is determined from at least one of a location entered by the user, a GPS location of the user, a calendar entry of the user, or a calendar entry of a friend of the user.

9. A computer-implemented method, comprising:

receiving selection data that correlates to media content selected by a user;

receiving location data that corresponds to a location of the user;

receiving event data; and

generating a recommendation for an event that the user is likely to attend and that is proximate the location of the user, the recommendation being generated by aggregating the selection data, the location data, and the event data.

10. The computer-implemented method as recited in claim 9, further comprising communicating the recommendation to a user device as at least one of a calendar entry, an email message, a text message, or an html page for display.

11. The computer-implemented method as recited in claim 9, further comprising generating a list of one or more persons known to the user and that are scheduled to attend the event.

12. The computer-implemented method as recited in claim 9, further comprising generating a list of one or more persons known to the user and that are likely to attend the event.

13. The computer-implemented method as recited in claim 12, further comprising:

receiving a selection of a person known to the user and that is likely to attend the event; and

communicating an invitation to the event to the person.

14. The computer-implemented method as recited in claim 9, wherein the selection data correlates to at least one of music, a video, a television program, a movie, a podcast, or a game that has been rendered or downloaded, and wherein the recommendation is for the event that the user is likely to attend based on the type of media content.

15. A recommendation system, comprising:

a database of user selections;

a database of user locations;

a database of scheduled events; and

an event recommendation service configured to aggregate the user selections, the user locations, and the scheduled events to generate a recommendation for an event that a user is likely to attend.

16. The recommendation system as recited in claim 15, wherein the event recommendation service is further configured to initiate communication of the recommendation to a user device as at least one of a calendar entry, an email message, a text message, or an html page for display.

17. The recommendation system as recited in claim 15, wherein the database of user selections comprises data associated with at least one of music, videos, television programs, movies, podcasts, or games that have been rendered or downloaded, and wherein the database of scheduled events comprises data associated with the scheduled events.

18. The recommendation system as recited in claim 15, wherein the event recommendation service is further configured to generate a list of one or more persons known to the user and that are scheduled to attend the event.

19. The recommendation system as recited in claim 15, wherein the event recommendation service is further configured to generate a list of one or more persons known to the user and that are likely to attend the event.

20. The recommendation system as recited in claim 15, wherein the database of user locations comprises data determined from at least one of a location entered by the user, a GPS location of the user, or a calendar entry of the user.