CONTEXT-AWARE ELECTRONIC SOCIAL NETWORKING

• US 20100228590A1
• Filed: 03/03/2009
• Published: 09/09/2010
• Est. Priority Date: 03/03/2009
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Muller, Samuel, Sommer, Dieter M.
• Application Number:
  US12/396,833
• Publication Number:
  US 20100228590A1
• Time in Patent Office: Days
• US Class Current: 705/10
• 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

A computer-implemented method for performing context-aware social networking within an electronic social network is provided. The method includes dynamically obtaining context information corresponding to at least one of past, present and future events associated with each user of a plurality of users within the electronic social network, storing the obtained context information, defining one or more context patterns of interest using the stored context information, and detecting a context pattern of interest from the one or more context patterns of interest for a first user of the plurality of users and formulating one or more recommendations or executing user-defined actions or predefined actions by the electronic social network for the first user using the detected context pattern of interest and the context information of at least a second user of the plurality of users.

Claims

1. A computer-implemented method for performing context-aware social networking within an electronic social network, the method comprising:

dynamically obtaining context information corresponding to at least one of past, present and future events associated with each user of a plurality of users within the electronic social network;

storing the obtained context information;

defining one or more context patterns of interest using the stored context information; and

detecting a context pattern of interest from the one or more context patterns of interest for a first user of the plurality of users and formulating one or more recommendations or executing user-defined actions or predefined actions by the electronic social network for the first user using the detected context pattern of interest and the context information of at least a second user of the plurality of users.

2. The computer-implemented method of claim 1, wherein the context information is manually set by each respective user.

3. The computer-implemented method of claim 1, wherein the context information is from one or more user applications.

4. The computer-implemented method of claim 1, wherein the context information is obtained from a third party website.

5. The computer-implemented method of claim 1, further comprises inferring the context information from one or more sensor inputs, or predefining the context information by associating the context information with one or more prescheduled events.

6. The computer-implemented method of claim 1, wherein defining the context patterns of interest comprises predefining the context patterns of interest via the electronic social network.

7. The computer-implemented method of claim 1, wherein defining the context patterns of interest comprises predefining the context patterns of interest by each respective user of the plurality of users.

8. The computer-implemented method of claim 1, wherein formulating the one or more recommendations comprises formulating the one or more recommendations using recommendation information that is predefined by each respective user of the plurality of users, recommendation information that is determined by the electronic social network, or both.

9. A computer program product comprising a computer useable medium including a computer readable program, wherein the computer readable program when executed on a computer causes the computer to implement a method for performing context-aware social networking within an electronic social network, the method comprising:

dynamically obtaining context information corresponding to at least one of past, present and future events associated with each user of a plurality of users within the electronic social network;

storing the obtained context information;

defining one or more context patterns of interest using the stored context information; and

detecting a context pattern of interest from the one or more context patterns of interest for a first user of the plurality of users and formulating one or more recommendations or executing user-defined actions or predefined actions by the electronic social network for the first user using the detected context pattern of interest and the context information of at least a second user of the plurality of users.

10. The computer program product of claim 9, wherein the context information is manually set by each respective user.

11. The computer program product of claim 9, wherein the context information from one or more user applications.

12. The computer program product of claim 9, wherein the context information obtained from a third party website.

13. The computer program product of claim 9, wherein the method further comprises inferring the context information from one or more sensor inputs, or predefining the context information by associating the context information with one or more prescheduled events.

14. The computer program product of claim 9, wherein defining the context patterns of interest comprises predefining the context patterns of interest via the electronic social network.

15. The computer program product of claim 9, wherein defining the context patterns of interest comprises predefining the context patterns of interest by each respective user of the plurality of users.

16. The computer program product of claim 9, wherein formulating the one or more recommendations comprises formulating the one or more recommendations using recommendation information that is predefined by each respective user of the plurality of users, recommendation information that is determined by the electronic social network, or both.

17. A system comprising:

a plurality of user interfaces;

a network; and

a processing unit in communication with the plurality of user interfaces via the network, wherein the processing unit is configured to;

dynamically obtain context information corresponding to at least one of past, present and future events associated with each user of a plurality of users within the electronic social network;

store the obtained context information;

define one or more context patterns of interest using the stored context information; and

detect a context pattern of interest from the one or more context patterns of interest for a first user of the plurality of users and formulate one or more recommendations or execute user-defined actions or predefined actions by the electronic social network for the first user using the detected context pattern of interest and the context information of at least a second user of the plurality of users.

18. The system of claim 17, wherein the context information is manually set by each respective user via the user interfaces.

19. The system of claim 17, wherein the context information is from one or more user applications.

20. The system of claim 17, wherein the context information is obtained from a third party website.