Automatic Flagging of Frequently Accessed Data Objects for Business Application

• US 20150106383A1
• Filed: 10/10/2013
• Published: 04/16/2015
• Est. Priority Date: 10/10/2013
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP AG (SAP SE)
• Inventors: Zhang, Zhong
• Granted Patent: US 9,471,642 B2
• Time in Patent Office: Days
• US Class Current: 707/748
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation

Abstract

Embodiments relate to management of data accessed from a database. A usage tracking engine of an application layer overlying a database, may automatically track (e.g. with a time stamp) access to specific data objects by particular users. This automatic tracking may be based upon one or more of the following: frequency of access, recency of access, user geographic location, and user calendar events. Based upon this data, the tracking engine applies an algorithm to automatically identify those data objects meriting special handling for quick access (e.g. for placement in a “shelf” or other construct readily accessible to the user). A heuristic learning module may generate a data object ranking based upon the usage data, and communicate that ranking to the usage tracking engine to determine a data object'"'"'s eligibility for placement on the “shelf”. Such ranking may consider personalized settings, and/or a user'"'"'s past manual shelf placement of data object(s).

Claims

1. A method comprising:

providing a usage tracking engine in communication with usage data of a data object of a database;

causing the usage tracking engine to track access to the data object by a database user;

causing the usage tracking engine to receive a ranking of the data object from a heuristic learning module;

causing the usage tracking engine to check a personalization setting reflecting a number of data objects to be located on a shelf accessible to the database user; and

causing the usage tracking engine to place the data object in the shelf based upon the ranking and the personalization setting.

2. The method of claim 1 wherein the usage information reflects a frequency of accessing the data object by the database user.

3. The method of claim 1 wherein the usage information reflects a recency of accessing the data object by the database user.

4. The method of claim 1 wherein the usage information reflects a manner of accessing the data object by the database user.

5. The method of claim 1 wherein the usage information is stored in the database.

6. The method of claim 1 wherein the ranking reflects other information selected from the group comprising a geographic location of a user, and a calendar of the user.

7. The method of claim 1 wherein the database comprises an in-memory database.

8. A computer system comprising:

a processor; and

a non-transitory computer readable medium having stored thereon one or more programs, which when executed by the processor, causes the processor to;

provide a usage tracking engine in communication with usage data of a data object of a database;

cause the usage tracking engine to track access to the data object by a database user;

cause the usage tracking engine to receive a ranking of the data object from a heuristic learning module;

cause the usage tracking engine to check a personalization setting reflecting a number of data objects to be located on a shelf accessible to the database user; and

cause the usage tracking engine to place the data object in the shelf based upon the ranking and the personalization setting.

9. The computer system of claim 8 wherein the usage information reflects a frequency of accessing the data object by the database user.

10. The computer system of claim 8 wherein the usage information reflects a recency of accessing the data object by the database user.

11. The computer system of claim 8 wherein the usage information reflects a manner of accessing the data object by the database user.

12. The computer system of claim 8 wherein the usage information is stored in the database.

13. The computer system of claim 8 wherein the ranking reflects other information selected from the group comprising a geographic location of a user, and a calendar of the user.

14. The computer system of claim 8 wherein the database comprises an in-memory database.

15. A non-transitory computer readable storage medium storing one or more programs, the one or more programs comprising instructions for:

providing a usage tracking engine in communication with usage data of a data object of a database;

causing the usage tracking engine to track access to the data object by a database user;

causing the usage tracking engine to receive a ranking of the data object from a heuristic learning module;

causing the usage tracking engine to check a personalization setting reflecting a number of data objects to be located on a shelf accessible to the database user; and

causing the usage tracking engine to place the data object in the shelf based upon the ranking and the personalization setting.

16. The non-transitory computer readable storage medium of claim 15 wherein the usage information reflects a frequency of accessing the data object by the database user.

17. The non-transitory computer readable storage medium of claim 15 wherein the usage information reflects a recency of accessing the data object by the database user.

18. The non-transitory computer readable storage medium of claim 15 wherein the usage information reflects a manner of accessing the data object by the database user.

19. The non-transitory computer readable storage medium of claim 15 wherein the usage information is stored in the database.

20. The non-transitory computer readable storage medium of claim 15 wherein the ranking reflects other information selected from the group comprising a geographic location of a user, and a calendar of the user.