Context Enhanced Marketing of Content and Targeted Advertising to Mobile Device Users

• US 20110066507A1
• Filed: 09/13/2010
• Published: 03/17/2011
• Est. Priority Date: 09/14/2009
• Status: Abandoned Application

• Current Assignee: SKYWEAVER, INC
• Original Assignee: Envio Networks Incorporated (SKYWEAVER, INC)
• Inventors: Katzenellenbogen, Michael, Sundar, Rangamani, Jha, Manish, Raman, Kumar, Iyer, Prakash R.
• Application Number:
  US12/880,276
• Publication Number:
  US 20110066507A1
• Time in Patent Office: Days
• US Class Current: 705/14.66
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A content recommendation and targeted contextual advertising platform is provided that leverages social networking connectivity among users in order to identify content of potential interest of users, and to present recommendation and/or targeted advertisements for such content to users depending on the context of the content.

Claims

1. A method comprising:

at one or more serving computers, storing data representing social network connections among mobile communication device users;

monitoring activity of users in connection with digital content and interactions between users;

computing context-specific trust inferences between connected users based on said monitoring; and

generating recommendations for digital content and information for a particular user for a particular context based on a corresponding context-specific trust inference computed for the particular user with respect to one or more other users that are connected to the particular user.

2. The method of claim 1, wherein monitoring comprises tracking data representing web pages viewed by mobile communication device users, and wherein generating recommendations comprises generating advertisements related to the particular context for display to the particular user.

3. The method of claim 1, wherein computing comprises computing a plurality of context-specific trust inferences each for a corresponding context that represents a type of digital content or information.

4. The method of claim 1, and further comprising storing information representing demographic and/or psychographic groups to which users belong, and wherein computing comprises adjusting a context-specific trust inference between connected users depending on which groups the connected users belong.

5. The method of claim 4, wherein adjusting comprises attenuating a context-specific trust inference between two connected users when the two connected users belong to one or more different demographic and/or psychographic groups that is relevant to a corresponding context and boosting a context-specific trust inference between two connected users when the two connected users belong to one or more of the same demographic and/or psychographic groups that is relevant to a corresponding context.

6. The method of claim 1, wherein storing comprises storing data representing social network connections such that a first user may be directly connected to a second user and the first user is indirectly connected to users that are directly connected to the second user, and wherein computing comprises computing context-specific trust inferences between the first user and the second user and as between the first user and other users that are connected to the second user according to a degree of separation limit representing a maximum degree of separate between the first user and any indirectly connected user with respect to the first user.

7. The method of claim 6, and further comprising setting a value of the degree of separation limit for the first user based on a configuration of the one or more server computers.

8. The method of claim 7, and further comprising receiving from the first user a value to be used as the degree of separation limit for context-specific trust inferences computed for the first user.

9. The method of claim 1, wherein generating recommendations comprises generating advertisements related to the particular context for display to the particular user.

10. A method comprising:

at one or more serving computers, storing data representing social network connections among mobile communication device users;

monitoring activity of users in connection with digital content and interactions between users;

computing context-specific trust inferences between connected users from the monitored activity; and

generating advertisements related to a particular context to be presented to a particular user based on a corresponding context-specific trust inference computed for the particular user with respect to one or more other users that are connected to the particular user.

11. The method of claim 10, wherein monitoring comprises tracking data representing web pages viewed by mobile communication device users.

12. The method of claim 10, wherein computing comprises computing a plurality of context-specific trust inferences each for a corresponding context that represents a type of digital content or information.

13. The method of claim 10, and further comprising storing information representing demographic and/or psychographic groups to which users belong, and wherein computing comprises adjusting a context-specific trust inference between connected users depending on which groups the connected users belong.

14. The method of claim 13, wherein adjusting comprises attenuating a context-specific trust inference between two connected users when the two connected users belong to one or more different demographic and/or psychographic groups that is relevant to a corresponding context and boosting a context-specific trust inference between two connected users when the two connected users belong to one or more of the same demographic and/or psychographic groups that is relevant to a corresponding context.

15. A computer readable medium storing instructions, that when executed by one or more computing devices, cause the one or more computing devices to:

store data representing social network connections among mobile communication device users;

monitor activity of users in connection with digital content and interactions between users;

compute context-specific trust inferences between connected users based on the monitored activities of users; and

generate advertisements to be presented to a particular user for a particular context based on a corresponding context-specific trust inference computed for the particular user with respect to one or more other users that are connected to the particular user.

16. The computer readable medium of claim 15, wherein the instructions that cause the processor to monitor comprise instructions that cause the processor to track data representing web pages viewed by mobile communication device users, and wherein the instructions that cause the processor to generate recommendations comprise instructions that cause the processor to generate advertisements for goods or services for the particular context for display to the particular user.

17. The computer readable medium of claim 15, wherein the instructions that cause the processor to compute comprise instructions that cause the processor to compute a plurality of context-specific trust inferences each for a corresponding context that represents a type of digital content or information.

18. The computer readable medium of claim 15, wherein the instructions that cause the processor to monitor comprise instructions that cause the processor to track data representing web pages viewed by mobile communication device users.

19. An apparatus comprising:

a network interface device configured to enable communications over a network;

one or more computing devices configured to be coupled to the network interface device, the one or more computing devices configured to;

store data representing social network connections among users;

monitor activity of users in connection with digital content and interactions between users;

compute context-specific trust inferences between connected users; and

generate recommendations for digital content and information for a particular user for a particular context based on a corresponding context-specific trust inference computed for the particular user with respect to one or more other users that are connected to the particular user.

20. The apparatus of claim 19, wherein the one or more computing devices are configured to generate advertisements related to the particular context for display to the particular user.

21. The apparatus of claim 19, wherein the one or more computing devices are configured to track data representing web pages viewed by mobile communication users.