GROUPING CONTENT BASED UPON USER ACTIVITY

• US 20150242459A1
• Filed: 03/26/2014
• Published: 08/27/2015
• Est. Priority Date: 02/24/2014
• Status: Active Grant

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: KRISHNA, Vikas
• Granted Patent: US 10,296,589 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting

Abstract

A method includes identifying a meeting to be attended by a participant in the future. A context of the meeting is determined based upon meeting information included in an electronic calendar of the participant. Multiple document repositories associated with the participant are queried to identify potentially relevant documents, based upon the context. The potentially relevant documents may be compiled in a content group and the user may be provided with access to the content group.

Claims

1. A method, comprising:

identifying a meeting to be attended by a participant in the future;

determining, using a processor, a context of the meeting based upon meeting information included in an electronic calendar of the participant;

querying multiple document repositories associated with the participant to identify potentially relevant documents, based upon the context;

compiling the potentially relevant documents in a meeting documents collection; and

providing the user with access to the meeting documents collection.

2. The method of claim 1, wherein identifying a meeting to be attended by a participant in the future comprises parsing the electronic calendar of the participant to determine a date, a time and the context of the meeting.

3. The method of claim 1, further comprising indexing all content of the multiple document repositories associated with the participant and wherein querying the multiple document repositories comprises posing individual queries against the indexed content.

4. The method of claim 1, further comprising determining a plurality of key terms based upon the context, and using the plurality of key terms in querying the multiple document repositories.

5. The method of claim 1, further comprising:

determining, for each of the potentially relevant documents, a respective relevance score; and

sorting, in descending order, each of the potentially relevant documents in the meeting documents collection, according to the respective relevance score.

6. The method of claim 5, further comprising:

using a search algorithm in querying the multiple document repositories;

receiving feedback from the user regarding the relevance of each of the potentially relevant documents; and

using the feedback to refine the search algorithm.

7. The method of claim 1, further comprising:

embedding the plurality of key terms in a name of the meeting documents collection; and

tagging the content group as having been automatically generated.

8. The method of claim 1, further comprising:

determining, for each of the potentially relevant documents, a respective relevance score;

receiving, from the participant, an indication of a maximum number of documents to be included in the content group;

using the respective relevance scores to limit the number of potentially relevant documents included in the content group, to the maximum number.

9. The method of claim 1, further comprising sending an email to the participant with a subject line related to a subject of the meeting, notifying the participant that the content group is available to the participant.

10. A computer configured to access a storage device, the computer comprising:

a processor; and

a non-transitory, computer-readable storage medium storing computer-readable instructions that when executed by the processor cause the computer to perform;

identifying a meeting to be attended by a participant in the future;

determining a context of the meeting based upon meeting information included in an electronic calendar of the participant;

querying multiple document repositories associated with the participant to identify potentially relevant documents, based upon the context;

compiling the potentially relevant documents in a content group; and

providing the user with access to the content group.

11. The computer of claim 10, wherein identifying a meeting to be attended by a participant in the future comprises parsing the electronic calendar of the participant to determine a date, a time and the context of the meeting.

12. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform indexing all content of the multiple document repositories associated with the participant and wherein querying the multiple document repositories comprises posing individual queries against the indexed content.

13. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform determining a plurality of key terms based upon the context, and using the plurality of key terms in querying the multiple document repositories.

14. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:

determining, for each of the potentially relevant documents, a respective relevance score; and

arranging each of the potentially relevant documents in the content group, according to the respective relevance score.

15. The computer of claim 14, wherein the computer-readable instructions further cause the computer to perform:

using a search algorithm in querying the multiple document repositories;

receiving feedback from the user regarding the relevance of each of the potentially relevant documents; and

using the feedback to refine the search algorithm.

16. The computer of claim 10, wherein the computer-readable instructions further cause the computer to perform:

determining, for each of the potentially relevant documents, a respective relevance score;

receiving, from the participant, an indication of a maximum number of documents to be included in the content group; and

using the respective relevance scores to limit the number of potentially relevant documents included in the content group, to the maximum number.

17. A 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 meeting to be attended by a participant in the future;

computer-readable program code configured to determine a context of the meeting based upon meeting information included in an electronic calendar of the participant;

computer-readable program code configured to query multiple document repositories associated with the participant to identify potentially relevant documents, based upon the context;

computer-readable program code configured to compile the potentially relevant documents in a content group; and

computer-readable program code configured to provide the user with access to the content group.

18. The computer program product of claim 17, wherein identifying a meeting to be attended by a participant in the future comprises parsing the electronic calendar of the participant to determine a date, a time and the context of the meeting.

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

computer-readable program code configured to determine, for each of the potentially relevant documents, a respective relevance score; and

computer-readable program code configured to arrange each of the potentially relevant documents in the content group, according to the respective relevance score.

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

computer-readable program code configured to determine, for each of the potentially relevant documents, a respective relevance score;

computer-readable program code configured to arrange each of the potentially relevant documents in the content group, according to the respective relevance score;

computer-readable program code configured to use a search algorithm in querying the multiple document repositories;

computer-readable program code configured to receive feedback from the user regarding the relevance of each of the potentially relevant documents; and

computer-readable program code configured to use the feedback to refine the search algorithm.