USER CONTEXT AND BEHAVIOR BASED USER INTERFACE RECOMMENDATION

• US 20140108977A1
• Filed: 10/15/2012
• Published: 04/17/2014
• Est. Priority Date: 10/15/2012
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Steinhauer, Sebastian, Queck, Tobias
• Granted Patent: US 9,348,613 B2
• Time in Patent Office: Days
• US Class Current: 715/765
• CPC Class Codes: G06F 9/451 Execution arrangements for user interfaces

Abstract

Systems and methods to provide graphical user interface recommendations based on user context information and behavior are provided. In example embodiments, tracking data associated with automatically tracked actions performed at a device of a user with respect to at least one screen are received. One or more recommendations of a customized screen for an application is determined based at least in part on the tracking data for the user. The one or more recommendations of a customized screen for the application are provided to the user.

Claims

1. A method comprising:

receiving tracking data associated with automatically tracked actions performed at a device of a user with respect to at least one screen;

determining, using a processor of a machine, one or more recommendations of a customized screen for an application based at least in part on the tracking data for the user; and

providing the one or more recommendations of a customized screen for the application to the user.

2. The method of claim 1, wherein the providing of the one or more recommendations comprises causing automatic application of a recommendation of the customized screen.

3. The method of claim 1, wherein the providing of the one or more recommendations comprises causing a listing of the one or more recommendations to be displayed to the user.

4. The method of claim 3, further comprising ranking the one or more recommendations in the listing based in part on the data associated with the automatically tracked actions.

5. The method of claim 1, wherein the automatically tracked actions comprise a modification made to at least one component of the at least one screen.

6. The method of claim 1, wherein the automatically tracked actions comprise a user interaction with at least one component of the at least one screen.

7. The method of claim 1, wherein the tracking data associated with the automatically tracked actions comprises customizations generated based on the automatically tracked actions.

8. The method of claim 1, wherein the determining of the one or more recommendations of the customized screen comprises analyzing the tracking data associated with the automatically tracked actions to identify user actions that occur regularly.

9. The method of claim 1, wherein the determining of the one or more recommendations of the customized screen comprises calculating weighting factors based on user context information.

10. The method of claim 1, wherein the determining of the one or more recommendations of the customized screen comprises calculating weighting factors based on corporate objectives.

11. The method of claim 1, wherein the determining of the one or more recommendations of the customized screen comprises eliminating recommendations that do not apply to the user based on user context information and user access data.

12. The method of claim 1, wherein the application comprises an application served from an enterprise software backend of a server.

13. The method of claim 1, wherein the automatically tracked actions performed at the device of the user with respect to the at least one screen is at a second application that is different from the application for which the one or more recommendations of a customized screen is provided.

14. The method of claim 1, further comprising automatically tracking user interactions performed with respect to the at least one screen.

15. The method of claim 1, further comprising automatically tracking modifications performed during rendering of the at least one screen.

16. A machine-readable storage medium in communication with at least one processor, the non-transitory machine-readable storage medium storing instructions which, when executed by the at least one processor of a machine, cause the machine to perform operations comprising:

receiving tracking data associated with automatically tracked actions performed at a device of a user with respect to at least one screen;

determining, using a processor of a machine, one or more recommendations of a customized screen for an application used at least in part on the tracking data for the user; and

providing the one or more recommendations of a customized screen for the application to the user.

17. The machine-readable storage medium of claim 16, wherein the providing of the one or more recommendations comprises causing automatic application of a recommendation of the customized screen.

18. The machine-readable storage medium of claim 16, wherein the providing of the one or more recommendations comprises causing a listing of the one or more recommendations to be displayed to the user.

19. The machine-readable storage medium of claim 16, wherein the determining of the one or more recommendations of the customized screen comprises calculating weighting factors in order to rank the one or more recommendations.

20. A system comprising:

a processor of a machine;

means for receiving tracking data associated with automatically tracked actions performed at a device of a user with respect to at least one screen;

means for determining, using the processor of a machine, one or more recommendations of a customized screen for an application based at least in part on the tracking data for the user; and

means for providing the one or more recommendations of a customized screen for the application to the user.