Generating secured recommendations for business intelligence enterprise systems

• US 9,977,815 B2
• Filed: 12/22/2014
• Issued: 05/22/2018
• Est. Priority Date: 12/22/2014
• Status: Active Grant

• Current Assignee: SAP SE
• Original Assignee: SAP SE
• Inventors: Chandran, Lakshmy, S, Praveen, Kunal, Parsewar, Ranganath, Sneha
• Primary Examiner(s): Nguyen, Cam-Linh
• Application Number:
  US14/579,786
• Publication Number:
  US 20160179863A1
• Time in Patent Office: 1,247 Days
• Field of Search: 707751
• CPC Class Codes: G06F 16/24 Querying
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/0637 Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals

Abstract

In one embodiment a computer-implemented method for recommending documents to a user, the method comprises determining, by a computer, audit logs entries that are associated with members of a group that includes the user as a member, each audit log entry is associated with a file that a member of the group has accessed; analyzing, by the computer, the associated audit log entries; and generating, by the computer, a recommendation of at least one file for the user based on the analyzing of the associated audit log entries.

Claims

1. A computer-implemented method for recommending documents to a user, the method comprising:

determining, by a computer, audit logs entries that are associated with members of a group that includes the user as a member, each audit log entry is associated with a file stored in a database that a member of the group has accessed during a create event, during a view event, or during a search event, the database further comprising a recommendation table including a timestamp field, an event field, and a rank field;

analyzing, by the computer, the associated audit log entries;

analyzing, by the computer, a scheduled time of refreshing of data from the database, the analyzing comprising referencing a value of the event field of the recommendation table, the file comprising a report previously accessed by the members of the group; and

generating, by the computer, a recommendation of the file for the user in an order according to a rank based on the analyzing of the associated audit log entries, a count of the value, and the scheduled time updating the timestamp field,

wherein the value of the search event is greater than the value of the view event, and the value of the view event is greater than the value of the create event, and

wherein the timestamp field is used to determine preference in rank between recommendations having a same count after consideration of the view event.

2. The computer-implemented method of claim 1 wherein the audit log entries include search information of the members of the group.

3. The computer-implemented method of claim 2 wherein generating, by the computer, the recommendation further includes generating the recommendation to the user of the group based on search information of other members of the group.

4. The computer-implemented method of claim 1 wherein analyzing, by the computer, the associated audit log entries further includes determining files having a highest number of views by members of the group.

5. The computer-implemented method of claim 1 wherein analyzing, by the computer, the associated audit log entries further includes determining times that files are viewed by members of the group,

wherein generating, by the computer, the recommendation includes generating the recommendation based on a number of times that files are viewed by members of the group.

6. The computer-implemented method of claim 1 wherein analyzing, by the computer, the associated audit log entries includes determining times that files are used by the user,

wherein generating, by the computer, the recommendation further includes generating the recommendation based on a number of times that files are used by the user.

7. The computer-implemented method of claim 1 wherein analyzing, by the computer, the associated audit log entries includes determining a date of creation of files by members of the group,

wherein generating, by the computer, the recommendation further includes generating the recommendation based on the date of creation by members of the group.

8. A non-transitory computer readable storage medium embodying a computer program for performing a method, the method comprising:

determining, by a computer, audit logs entries that are associated with members of a group that includes the user as a member, each audit log entry is associated with a file stored in a database that a member of the group has accessed during a create event, during a view event, or during a search event, the database further comprising a recommendation table including a timestamp field, an event field, and a rank field;

analyzing, by the computer, the associated audit log entries;

analyzing, by the computer, a scheduled time of refreshing of data from the database, the analyzing comprising referencing a value of the event field of the recommendation table, the file comprising a report previously accessed by the members of the group; and

generating, by the computer, a recommendation of the file for the user in an order according to rank based on the analyzing of the associated audit log entries, a count of the value, and the scheduled time updating the timestamp field,

wherein the value of the search event is greater than the value of the view event, and the value of the view event is greater than the value of the create event, and

wherein the timestamp field is used to determine a preference in rank between recommendations having a same count after consideration of the view event.

9. The non-transitory computer readable storage medium of claim 8 wherein the audit log entries include search information of the members of the group.

10. The non-transitory computer readable storage medium of claim 9 wherein generating, by the computer, the recommendation further includes generating the recommendation to the user of the group based on search information of other members of the group.

11. The non-transitory computer readable storage medium of claim 8 wherein analyzing, by the computer, the associated audit log entries includes determining files having a highest number of views by members of the group.

12. The non-transitory computer readable storage medium of claim 8 wherein analyzing, by the computer, the associated audit log entries includes determining times that files are viewed by members of the group,

wherein generating, by the computer, the recommendation further includes generating the recommendation based on a number of times that files are viewed by members of the group.

13. The non-transitory computer readable storage medium of claim 8 wherein analyzing, by the computer, the associated audit log entries includes determining times that files are used by the user,

wherein generating, by the computer, the recommendation further includes generating the recommendation based on a number of times that files are used by the user.

14. A computer system comprising:

one or more processors;

a software program, executable on the computer system, the software program configured to;

determine audit logs entries that are associated with members of a group that includes the user as a member, each audit log entry is associated with a file stored in a database that a member of the group has accessed during a create event, during a view event, or during a search event, the database further comprising a recommendation table including a timestamp field, an event field, and a rank field;

analyze the associated audit log entries;

analyze a scheduled time of refreshing of data from the database, the file comprising a report previously accessed by the members of the group the analyzing comprising referencing a value of the event field of the recommendation table; and

generate a recommendation of the file for the user in an order according to a rank based on the analyzing of the associated audit log entries, a count of the value, and the scheduled time updating the timestamp field,

wherein the value of the search event is greater than the value of the view event, and the value of the view event is greater than the value of the create event, and

wherein the timestamp field is used to determine a preference in rank between recommendations having a same count after consideration of the view event.

15. The computer system of claim 14 wherein the audit log entries include search information of the members of the group.

16. The computer system of claim 15 wherein the software program is further configured to generate the recommendation to the user of the group based on search information of other members of the group.

17. The computer system of claim 14 wherein the software program is configured to analyze the associated audit log entries by determining files having a highest number of views by members of the group.

18. The computer system of claim 14 wherein the software program is configured to analyze the associated audit log entries by determining times that files are viewed by members of the group,

wherein the software program is configured to further generate the recommendation by generating the recommendation based on a number of times that files are viewed by members of the group.

19. The computer system of claim 14 wherein the software program is configured to analyze the associated audit log entries by determining times that files are used by the user,

wherein the software program is configured to further generate the recommendation by generating the recommendation based on a number of times that files are used by the user.

20. The computer system of claim 14 wherein the software program is configured to analyze the associated audit log entries by determining a date of creation of files by members of the group,

wherein the software program is configured to further generate the recommendation by generating the recommendation based on the date of creation by members of the group.