Peer-to-peer access of personalized profiles using content intermediary

• US 9,141,972 B2
• Filed: 12/16/2013
• Issued: 09/22/2015
• Est. Priority Date: 02/28/2007
• Status: Active Grant

• Current Assignee: Yahoo Assets LLC
• Original Assignee: AOL Inc. (Apollo Global Management, Inc.)
• Inventors: Tonse, Sudhir, Ranganathan, Arun K, LaPorte, Brock Daniel, Macadaan, Michael, Liu, David J
• Primary Examiner(s): Nguyen, Kevin
• Application Number:
  US14/107,989
• Publication Number:
  US 20140108954A1
• Time in Patent Office: 645 Days
• Field of Search: 715735-738, 715762-765, 715745-747, 715751-758
• US Class Current: 1/1
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/252 between a Database Management System and a front-end application
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: H04L 67/306 User profiles
• 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 for personalizing content for a particular user in a computing system comprising a user interface configured to display content. The method comprises identifying a content item accessed by a user, identifying features associated with the content item; using the features of the content item to identify one or more third party profiles that substantially match a content profile of the content item, and displaying a list of the identified third party profiles.

Claims

1. A system for providing personalized content in a social network, comprising:

a memory device storing a plurality of instructions; and

at least one processor that executes the plurality of instructions and that is adapted to;

monitor online activity of a user;

identify one or more interests of the user based on the online activity;

determine at least one third party profile in a social network having one or more interests that are similar to the identified one or more interests of the user; and

present, through a profile image cloud, an identification of the at least one third party profile to the user with an indication of a profile type of the at least one third party profile.

2. The system of claim 1, where the profile type comprises at least one of private profile, public profile, or community profile.

3. The system of claim 1, wherein at least one third party profile includes profiles that are part of a community profile to which the user belongs.

4. The system of claim 1, wherein the at least one processor is further adapted to:

detect a change in a user profile of the social network associated with the user;

select new images to be included in a plurality of images of the profile image cloud; and

dynamically change a display of the plurality of images to include the new images.

5. The system of claim 4, wherein the plurality of images are displayed in varying sizes based on how closely associated each of the plurality of images correspond to the identified one or more interests of the user.

6. The system of claim 1, wherein the at least one processor is further adapted to:

determine a physical location of one or more third party users associated with the at least one third party profile; and

display the physical location to the user.

7. The system of claim 1, wherein the at least one processor is further adapted to:

receive a request by the user to recommend a content item to the at least one third party profile; and

provide the recommended content item to the at least one third party profile regardless of whether the one or more third party users is online.

8. The system of claim 1, wherein the at least one processor is further adapted to:

identify user interaction with a content item; and

update a user profile based on the user interaction with the content item.

9. The system of claim 1, wherein the at least one third party profile is limited to a set of third party profiles predetermined by the user.

10. A method for providing personalized content in a social network, the method comprising the following operations performed by at least one processor:

monitoring online activity of a user;

identifying one or more interests of the user based on the online activity;

determining at least one third party profile in a social network having one or more interests that are similar to the identified one or more interests of the user; and

presenting, through a profile image cloud, an identification of the at least one third party profile to the user with an indication of a profile type of the at least one third party profile.

11. The method of claim 10, where the profile type comprises at least one of private profile, public profile, or community profile.

12. The method of claim 10, wherein at least one third party profile includes profiles that are part of a community profile to which the user belongs.

13. The method of claim 10, further comprising:

detecting a change in a user profile of the social network associated with the user;

selecting new images to be included in a plurality of images of the profile image cloud; and

dynamically changing a display of the plurality of images to include the new images.

14. The method of claim 13, wherein the plurality of images are displayed in varying sizes based on how closely associated each of the plurality of images correspond to the identified one or more interests of the user.

15. The method of claim 10, further comprising:

determining a physical location of one or more third party users associated with the at least one third party profile; and

displaying the physical location to the user.

16. The method of claim 10, further comprising:

receiving a request by the user to recommend a content item to the at least one third party profile; and

providing the recommended content item to the at least one third party profile regardless of whether the one or more third party users is online.

17. The method of claim 10, further comprising:

identifying user interaction with a content item; and

updating a user profile based on the user interaction with the content item.

18. The method of claim 10, wherein the at least one third party profile is limited to a set of third party profiles predetermined by the user.

19. A non-transitory computer readable medium storing a computer program, the computer program including a set of instructions that are executable by at least one processor to:

monitor online activity of a user;

identify one or more interests of the user based on the online activity;

determine at least one third party profile in a social network having one or more interests that are similar to the identified one or more interests of the user; and

present, through a profile image cloud, an identification of the at least one third party profile to the user with an indication of a profile type of the at least one third party profile.

20. The computer readable medium of claim 19, wherein the set of instructions further cause the at least one processor to:

detect a change in a user profile of the social network associated with the user;

select new images to be included in a plurality of images of the profile image cloud; and

dynamically change a display of the plurality of images to include the new images.