DYNAMIC GROUP GENERATION

• US 20120084669A1
• Filed: 09/30/2010
• Published: 04/05/2012
• Est. Priority Date: 09/30/2010
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: SAHA, PROJJWAL, FLINT, ERIKA C., JAQUINTA, JOSEPH MOULTON, KALE, ARTI ABHAY, KHAN, SHAKIL MANZOOR, PODLASECK, MARK EDWARD, ROY, SUPARNA SINHA
• Application Number:
  US12/894,372
• Publication Number:
  US 20120084669A1
• Time in Patent Office: Days
• US Class Current: 715/753
• CPC Class Codes: G06Q 10/10 Office automation; Time management

Abstract

A pre-defined set of similarity parameters associated with a plurality of clients in a virtual environment, including at least one non-spatial dynamic parameter, is identified. The identified pre-defined set of similarity parameters is processed using at least one tool from a pre-defined set of analysis tools. A group is created within the plurality of clients using the identified at least one non-spatial dynamic parameter. A plurality of group characteristics associated with the group is generated using the processing of the identified pre-defined set of similarity parameters. A user interface is provided to at least one client from the group for communication in response to the generated plurality of group characteristics, wherein the user interface is used for at least one of intra-group communication and communication external to the group.

Claims

1. A computer implemented method for generating a group of users in a virtual environment, the method comprising:

identifying a pre-defined set of similarity parameters associated with a plurality of users wherein the pre-defined set of similarity parameters includes at least one non-spatial dynamic parameter; and

creating the group of users based on the identified at least one non-spatial dynamic parameter.

2. The method of claim 1, wherein the at least one non-spatial dynamic parameter is selected from a set comprising at least one from a plurality of dynamic behavior parameters, a plurality of dynamic sensor data parameters, and a plurality of dynamic message data parameters.

3. The method of claim 1, wherein the pre-defined set of similarity parameters further comprises at least one of a plurality of spatial dynamic parameters, a plurality of spatial historical parameters, and a plurality of non-spatial historical parameters.

4. The method of claim 3, wherein the plurality of spatial dynamic parameters comprises at least one of geographical coordinates, and geographical proximity with respect to a reference, and the plurality of non-spatial historical parameters comprises at least one from a plurality of client profile parameters, a plurality of client interest parameters, and a plurality of client website usage parameters.

5. The method of claim 1, further comprising:

modifying the group in response to a change in at least one parameter from a plurality of spatial dynamic parameters and the at least one non-spatial dynamic parameter.

6. The method of claim 1, further comprising:

processing the identified pre-defined set of similarity parameters using at least one from a pre-defined set of analysis tools comprising data mining, statistics, machine learning, and artificial intelligence.

7. The method of claim 6, further comprising:

generating a plurality of group characteristics associated with the group using the processing of the identified pre-defined set of similarity parameters.

8. The method of claim 7, further comprising:

providing a user interface to at least one client from the group for intragroup communication, in response to the generated plurality of group characteristics.

9. The method of claim 7, further comprising:

providing a user interface to at least one client from the group for communication external to the group, in response to the generated plurality of group characteristics.

10. A system of generating a group within a plurality of clients in a virtual environment, the system comprising at least one processor and at least one memory, wherein the processor is adapted to:

identify a pre-defined set of similarity parameters associated with the plurality of clients including at least one non-spatial dynamic parameter; and

create the group within the plurality of clients using the identified at least one non-spatial dynamic parameter.

11. The system of claim 10, wherein the at least one non-spatial dynamic parameter is selected from a set comprising at least one from a plurality of dynamic behavior parameters, a plurality of dynamic sensor data parameters, and a plurality of dynamic message data parameters.

12. The system of claim 10, wherein the pre-defined set of similarity parameters further comprises at least one of a plurality of spatial dynamic parameters, a plurality of spatial historical parameters, and a plurality of non-spatial historical parameters.

13. The system of claim 12, wherein the plurality of spatial dynamic parameters comprises at least one of geographical coordinates, and geographical proximity with respect to a reference, and the plurality of non-spatial historical parameters comprises at least one from a plurality of client profile parameters, a plurality of client interest parameters, and a plurality of client website usage parameters.

14. The system of claim 10, wherein the processor is further adapted to:

modify the group in response to a change in at least one parameter from a plurality of spatial dynamic parameters and the at least one non-spatial dynamic parameter.

15. The system of claim 10, wherein the processor is further adapted to:

process the identified pre-defined set of similarity parameters using at least one from a pre-defined set of analysis tools comprising data mining, statistics, machine learning and artificial intelligence; and

generate a plurality of group characteristics associated with the group using the processing of the identified pre-defined set of similarity parameters.

16. The system of claim 15, wherein the processor is further adapted to:

provide a user interface to at least one client from the group for communication in response to the generated plurality of group characteristics, wherein the user interface is used for at least one of intra-group communication and communication external to the group.

17. A computer program product for retrieving a subset of data from a data repository, the computer program product comprising:

a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code comprising computer readable program code configured to;

identify a pre-defined set of similarity parameters associated with the plurality of clients including at least one non-spatial dynamic parameter; and

create the group within the plurality of clients using the identified at least one non-spatial dynamic parameter.

18. The computer program product of claim 17, further configured to:

modify the group in response to a change in at least one parameter from a plurality of spatial dynamic parameters and the at least one non-spatial dynamic parameter.

19. The computer program product of claim 17, further configured to:

process the identified pre-defined set of similarity parameters using at least one from a pre-defined set of analysis tools comprising data mining, statistics, machine learning and artificial intelligence; and

generate a plurality of group characteristics associated with the group using the processing of the identified pre-defined set of similarity parameters.

20. The computer program product of claim 19, further configured to:

provide a user interface to at least one client from the group for intragroup communication in response to the generated plurality of group characteristics, wherein the user interface is used for at least one of intra-group communication and communication external to the group.