Application Recommendation

• US 20120110463A1
• Filed: 11/01/2010
• Published: 05/03/2012
• Est. Priority Date: 11/01/2010
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Brolley, Sarah Nelson, Carter, Bernadette Alexia, Forrester, Jessica Whitley, Lemanski, Kathryn Jane
• Granted Patent: US 8,595,626 B2
• Time in Patent Office: Days
• US Class Current: 715/738
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

A method for application recommendation performed by a computerized application recommendation system includes receiving usage data for applications within a category of applications from a plurality of users, and providing a first user with a recommendation for a first application in the category of applications based, at least in part, on a change in the usage data. A computerized application recommendation system includes a processor and a memory. The processor is configured to receive usage data for applications in a category of applications from a plurality of users, and provide a first user with a recommendation for a first application in the category of applications based, at least in part, on a change in the usage data.

Claims

1. A method for application recommendation performed by a computerized application recommendation system, the method comprising:

with said computerized application recommendation system, receiving usage data for applications within a category of applications from a plurality of users; and

with said computerized application recommendation system, providing a first user with a recommendation for a first application in said category of applications based, at least in part, on a change in said usage data.

2. The method of claim 1, wherein said usage data is weighted based on an expertise of at least one of said plurality of users.

3. The method of claim 2, wherein said expertise is retrieved from a social networking application.

4. The method of claim 1, wherein said change in said usage data comprises a shift of usage by a second user from a second application of said category to said first application.

5. The method of claim 1, wherein said change in said usage data comprises a shift in average usage to said first application from a second application in said category by said plurality of users.

6. The method of claim 4, wherein more weight is given to a shift by users within a same network as said first user.

7. The method of claim 1, wherein said plurality of users belong to at least one of:

a social network and a professional network.

8. The method of claim 1, wherein said usage data comprises at least one of:

frequency of use of applications within said category of applications and duration of use of applications within said category of applications

9. The method of claim 1, wherein said first application comprises one of:

a standalone application and a web application.

10. The method of claim 1, wherein said user is provided with an option to control which application data from applications that are monitored is included in said usage data.

11. A computerized application recommendation system comprising:

a processor; and

a memory communicatively coupled to said processor;

in which said processor is configured to;

receive usage data for applications in a category of applications from a plurality of users; and

provide a first user with a recommendation for a first application in said category of applications based, at least in part, on a change in said usage data.

12. The method of claim 11, wherein said usage data is weighted based on an expertise of at least one of said plurality of users.

13. The system of claim 12, wherein said expertise is retrieved from a social networking application.

14. The system of claim 11, wherein said change in said usage data comprises a shift of usage by a second user from a second application in said category to said first application.

15. The system of claim 11, wherein said change in said usage data comprises a shift in average usage to said first application from a second application in said category by said plurality of users.

16. The system of claim 15, wherein more weight is given to a shift by users within a same network as said first user.

17. The system of claim 11, wherein said plurality of users belong to at least one of:

a social network and a professional network.

18. The system of claim 11, wherein said usage data comprises at least one of:

frequency of use of applications within said category of applications and duration of use of applications within said category of applications.

19. The system of claim 11, wherein said first application comprises one of:

a standalone application and a web application.

20. A computer program product for providing a user with a recommendation to use a particular application, said computer program product comprising:

a computer readable storage medium having computer readable code embodied therewith, said computer readable program code comprising;

computer readable program code configured to receive usage data for applications in a category of applications from a plurality of users; and

computer readable program code configured to provide a first user with a recommendation for a first application of said category of applications based, at least in part, on a change in said usage data.