PROVIDING EXPECTED DESIRABILITY INFORMATION PRIOR TO SENDING A RECOMMENDATION

• US 20090259621A1
• Filed: 04/11/2008
• Published: 10/15/2009
• Est. Priority Date: 04/11/2008
• Status: Abandoned Application

• Current Assignee: Concert Technology Corporation
• Original Assignee: Concert Technology Corporation
• Inventors: Svendsen, Hugh, Purdy, Sean
• Application Number:
  US12/101,194
• Publication Number:
  US 20090259621A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04L 51/02 using automatic reactions or user delegation, e.g. automatic replies or chatbot-generated messages
• CPC Class Codes: H04L 51/52 for supporting social networking services

Abstract

Systems and methods are described for providing information to a recommending user reflecting an expected, or predicted, desirability of a recommendation of a media item for a potential recommendation recipient or a group of potential recommendation recipients. In one embodiment, the recommending user selects a media item to potentially recommend to other users. For each potential recommendation recipient or group of potential recommendation recipients, an expected desirability value reflecting an expected desirability of the media item is determined. The expected desirability values are then presented to the recommending user. Based on the expected desirability values, the recommending user then selects one or more of the potential recommendation recipients or groups of potential recommendation recipients to which to send a recommendation for the media item.

Claims

1. A method comprising:

receiving user input selecting a media item from a recommending user;

obtaining expected desirability information for the media item for each potential recommendation recipient of one or more potential recommendation recipients; and

presenting the expected desirability information to the recommending user.

2. The method of claim 1 further comprising:

receiving user input, from the recommending user, selecting at least one recipient of a recommendation for the media item from the one or more potential recommendation recipients; and

causing the recommendation for the media item to be provided to the at least one recipient.

3. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information comprises an expected desirability value for the media item determined based on metadata describing the media item and user preferences of the potential recommendation recipient.

4. The method of claim 3 wherein the expected desirability value is further determined based on at least one of a group consisting of:

information indicating whether each potential recommendation recipient owns the media item, information indicating whether each potential recommendation recipient has played the media item, information indicating whether each potential recommendation recipient has previewed the media item, information indicating whether each potential recommendation recipient has recently played the media item, and information indicating whether each potential recommendation recipient has recently previewed the media item.

5. The method of claim 3 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability value is indicative of whether a recommendation for the media item is expected to be desirable to the potential recommendation recipient.

6. The method of claim 3 wherein obtaining the expected desirability information comprises:

obtaining the user preferences of each potential recommendation recipient of the one or more potential recommendation recipients; and

for each potential recommendation recipient of the one or more potential recommendation recipients, determining the expected desirability value based on the metadata describing the media item and the user preferences of the potential recommendation recipient.

7. The method of claim 6 wherein obtaining the user preferences comprises obtaining the user preferences of each potential recommendation recipient of the one or more potential recommendation recipients from at least one remote system.

8. The method of claim 7 wherein the at least one remote system is a central system operating to store user preferences for a plurality of users comprising the one or more potential recommendation recipients.

9. The method of claim 3 wherein obtaining the expected desirability information comprises obtaining the expected desirability value for the media item for each potential recommendation recipient of the one or more potential recommendation recipients from a central system.

10. The method of claim 3 wherein obtaining the expected desirability information comprises:

providing information identifying the media item to a central system, wherein for each potential recommendation recipient of the one or more potential recommendation recipients the central system determines the expected desirability value based on the metadata describing the media item and the user preferences of the potential recommendation recipient; and

receiving the expected desirability value for each potential recipient from the central system.

11. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information comprises an expected desirability value for the media item determined based on at least one of a group consisting of:

information indicating whether each potential recommendation recipient owns the media item, information indicating whether each potential recommendation recipient has played the media item, information indicating whether each potential recommendation recipient has previewed the media item, information indicating whether each potential recommendation recipient has recently played the media item, and information indicating whether each potential recommendation recipient has recently previewed the media item.

12. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information further comprises information indicating whether the media item is already part of a media collection of the potential recommendation recipient.

13. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information further comprises information indicating whether the media item has been played by the potential recommendation recipient.

14. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information further comprises information indicating whether the media item has been previewed by the potential recommendation recipient.

15. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information further comprises information indicating whether the media item has recently been played by the potential recommendation recipient.

16. The method of claim 15 wherein the media item has recently been played if the media item has been played within a predefined amount of time prior to a current time.

17. The method of claim 1 wherein, for each potential recommendation recipient of the one or more potential recommendation recipients, the expected desirability information further comprises information indicating whether the media item has recently been previewed by the potential recommendation recipient.

18. The method of claim 17 wherein the media item has recently been previewed if the media item has been previewed within a predefined amount of time prior to a current time.

19. The method of claim 1 wherein the one or more potential recommendation recipients comprise other users identified by a buddy list of the recommending user.

20. The method of claim 1 wherein the method is a method of operation for a user device.

21. The method of claim 1 wherein the method is a method of operation for a central system interacting with the recommending user and the one or more potential recommendation recipients via user devices connected to the central system over a network.

22. A user device comprising:

a) a user interface;

b) a communication interface; and

c) a control system, associated with the user interface and the communication interface, and adapted to;

i) receive user input selecting a media item from a recommending user via the user interface;

ii) obtain expected desirability information for the media item for each potential recommendation recipient of one or more potential recommendation recipients; and

iii) present the expected desirability information to the recommending user via the user interface.

23. The user device of claim 22 wherein the control system is further adapted to:

receive user input, from the recommending user via the user interface, selecting at least one recipient of a recommendation for the media item from the one or more potential recommendation recipients; and

cause the recommendation for the media item to be provided to at least one second user device of the at least one recipient.

24. A computer readable medium comprising software for instructing a user device to:

receive user input selecting a media item from a recommending user;

obtain expected desirability information for the media item for each potential recommendation recipient of one or more potential recommendation recipients; and

present the expected desirability information to the recommending user.

25. The computer readable medium of claim 24 further instructing the user device to:

receive user input, from the recommending user, selecting at least one recipient of a recommendation for the media item from the one or more potential recommendation recipients; and

cause the recommendation for the media item to be provided to at least one second user device of the at least one recipient.

26. A method comprising:

receiving user input selecting a media item from a recommending user;

obtaining expected desirability information for the media item for one or more groups of potential recommendation recipients; and

presenting the expected desirability information to the recommending user.

27. The method of claim 26 further comprising:

receiving user input, from the recommending user, selecting at least one group of recipients for a recommendation for the media item from the one or more groups of potential recommendation recipients; and

causing the recommendation for the media item to be provided to each recommendation recipient in the at least one group of recipients.

28. The method of claim 26 wherein, for each group of potential recommendation recipients of the one or more groups of potential recommendation recipients, the expected desirability information comprises a composite expected desirability value for the media item determined based on metadata describing the media item and user preferences of potential recommendation recipients within the group of potential recommendation recipients.

29. The method of claim 28 wherein obtaining the expected desirability information comprises, for each group of potential recommendation recipients:

obtaining the user preferences of each potential recommendation recipient in the group of potential recommendation recipients;

for each potential recommendation recipient in the group of potential recommendation recipients, determining an expected desirability value based on the metadata describing the media item and the user preferences of the potential recommendation recipient; and

combining the expected desirability values of the potential recommendation recipients in the group of potential recommendation recipients to provide the composite expected desirability value for the group of potential recommendation recipients.

30. The method of claim 28 wherein obtaining the expected desirability information comprises, for each group of potential recommendation recipients:

obtaining the user preferences of each potential recommendation recipient in the group of potential recommendation recipients;

aggregating the user preferences of the potential recommendation recipients in the group of potential recommendation recipients to provide aggregate user preferences for the group of potential recommendation recipients; and

determining the composite expected desirability value for the group of potential recommendation recipients based on the metadata describing the media item and the aggregate user preferences for the group of potential recommendation recipients.

31. A user device comprising:

a) a user interface;

b) a communication interface; and

c) a control system, associated with the user interface and the communication interface, and adapted to;

i) receive user input selecting a media item from a recommending user via the user interface;

ii) obtain expected desirability information for the media item for one or more groups of potential recommendation recipients; and

iii) present, via the user interface, the expected desirability information to the recommending user.

32. The user device of claim 31 wherein the control system is further adapted to:

receive user input, from the recommending user via the user interface, selecting at least one group of recipients for a recommendation for the media item from the one or more groups of potential recommendation recipients; and

cause the recommendation for the media item to be provided to a second user device of each of at least one recipient of the at least one group of recipients.

33. A computer readable medium comprising software for instructing a user device to:

receive user input selecting a media item from a recommending user;

obtain expected desirability information for the media item for one or more groups of potential recommendation recipients; and

present the expected desirability information to the recommending user.

34. The computer readable medium of claim 33 further instructing the user device to:

receive user input, from the recommending user, selecting at least one group of recipients for a recommendation for the media item from the one or more groups of potential recommendation recipients; and

cause the recommendation for the media item to be provided to a second user device of each of at least one recipient of the at least one group of recipients.