System and Method for Expertise Mapping

• US 20180285402A1
• Filed: 03/28/2017
• Published: 10/04/2018
• Est. Priority Date: 03/28/2017
• Status: Abandoned Application

• Current Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Original Assignee: CA, Inc. (d/b/a CA Technologies) (Broadcom, Inc.)
• Inventors: Cohen, Michael, Cockayne, Simon
• Application Number:
  US15/470,967
• Publication Number:
  US 20180285402A1
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/3344 using natural language analysis
• CPC Class Codes: G06F 16/86 Mapping to a database
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 10/105 Human resources

Abstract

A computer-implemented expertise mining system is configured to update an expertise database based on a recommender'"'"'s out of office and/or auto-reply settings for a communication application, such as an email application or social media application. The expertise system obtains the recommender'"'"'s auto-reply settings directly from the communication application. The auto-reply settings include message body text for out of office and auto-reply messages. The expertise system then extracts recommendation data from the auto-reply settings; and updates an expertise database based on the recommendation data extracted from the auto-reply settings.

Claims

1. A computer-implemented method of expertise mapping comprising:

obtaining, from a communication application, user-defined auto-reply settings for a recommender using the communication application, said auto-reply settings including message body text for auto-reply messages;

extracting recommendation data from the auto-reply settings; and

updating an expertise database based on recommendation data extracted from the auto-reply settings.

3. The method of claim 1 wherein extracting recommendation data from the auto-reply settings comprises identifying a recommended person from a contact recommendation directive in the message body text.

4. The method of claim 3 wherein updating an expertise database based on the recommendation data comprises adding or updating an expertise mapping for the recommended person.

5. The method of claim 3 wherein extracting recommendation data from the auto-reply settings further comprises identifying a subject associated with the recommended person from the contact recommendation directive in the message body text.

6. The method of claim 5 wherein updating an expertise database based on recommendation data comprises adding or updating an expertise mapping including the recommended person and the identified subject associated with the recommended person.

7. The method of claim 3 wherein extracting recommendation data from the auto-reply settings further comprises identifying the recommender.

8. The method of claim 7 wherein updating an expertise database based on the recommendation data comprises adding or updating an expertise mapping corresponding to the recommender.

9. The method of claim 7 further comprising identifying a subject associated with the recommender from an existing expertise mapping.

10. The method of claim 9 wherein updating an expertise database based on the recommendation data comprises adding or updating an expertise mapping including the recommended person and the identified subject associated with the recommender.

11. The method of claim 3 wherein:

the expertise mapping includes a competency score for the recommended person; and

adding or updating an expertise mapping in an expertise database based on the recommendation data comprises generating the competency score.

2. The method of 1 wherein obtaining, from a communication application, user-defined auto-reply settings for a recommender comprises:

sending a request to the communication application for user-defined auto-reply settings; and

receiving, from the communication application and responsive to the request, the user-defined auto-reply settings for the recommender.

12. A computing device for an expertise mining system, the computing device comprising:

a communication interface for communicating with an application server executing a communication application; and

a processing circuit configured to;

obtain, from a communication application, user-defined auto-reply settings for a recommender using the communication application, said auto-reply settings including message body text for auto-reply messages;

extract recommendation data from the auto-reply settings; and

add or update an expertise mapping in an expertise database based on recommendation data.

14. The computing device of claim 12 wherein:

the recommendation data comprises a recommended person; and

the processing circuit is further configured to identify the recommended person from a contact recommendation directive in the message body text.

15. The computing device of claim 14 wherein the processing circuit is further configured to update the expertise database by adding or updating an expertise mapping including the recommended person.

16. The computing device of claim 14 wherein:

the recommendation data further comprises a subject associated with the recommended person; and

the processing circuit is further configured to identify the subject from the contact recommendation directive in the message body text.

17. The computing device of claim 16 wherein the processing circuit is further configured to update the expertise database by adding or creating an expertise mapping including the recommended person and the identified subject associated with the recommended person.

18. The computing device of claim 14 wherein the recommendation data further comprises an identity of the recommender associated with the auto-reply settings.

19. The computing device of claim 18 wherein the processing circuit is further configured to update the expertise database by adding or updating an expertise mapping including the recommender.

20. The computing device of claim 18 wherein the processing circuit is further configured to identify a subject associated with the recommender from an existing expertise mapping.

21. The computing device of claim 20 wherein the processing circuit is further configured to update the expertise database by adding or updating an expertise mapping including the recommended person and the identified subject associated with the recommender.

22. The computing device of claim 14 wherein:

the expertise mapping includes a competency score for the recommended person; and

the processing circuit is further configured to update an expertise database based on the recommendation data by generating the competency score for the expertise mapping.

13. The computing device of 12 wherein the processing circuit is configured to obtain the user-defined auto-reply settings for a recommender by:

sending a request to the communication application for user-defined auto-reply settings; and

receiving, from the communication application and responsive to the request, the user-defined auto-reply settings for the recommender.

23. A non-transitory computer-readable medium storing executable program code that, when executed by a processing circuit in an expertise mining system causes the computing device to:

obtain, from a communication application, user-defined auto-reply settings for a recommender using the communication application, said auto-reply settings including message body text for auto-reply messages;

extract recommendation data from the auto-reply settings; and

update an expertise database based on recommendation data extracted from the auto-reply settings.