Providing of recommendations determined from a collaboration session system and method

• US 10,333,995 B2
• Filed: 01/23/2014
• Issued: 06/25/2019
• Est. Priority Date: 01/23/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Buddenbaum, Donald E., Haggar, Peter F., Kreger, Heather M., Le Hors, Arnaud J., Meegan, John V., Wells, Keith A.
• Primary Examiner(s): Walsh, John B
• Application Number:
  US14/162,372
• Publication Number:
  US 20150207828A1
• Time in Patent Office: 1,979 Days
• CPC Class Codes: H04L 65/1053 IP private branch exchange [PBX] functionality entities or arrangements circuit switched PBXs H04M3/00
• CPC Class Codes: H04L 65/1069 Session establishment or de-establishment
• CPC Class Codes: H04L 65/1093 by adding participants; by removing participants
• CPC Class Codes: H04L 65/4046 with distributed floor control

Abstract

A method, computer program product, and computer system for monitoring, at a computing device, at least a portion of a collaboration session provided by one or more participants of the collaboration session. At least the portion of the collaboration session is analyzed to determine a recommendation associated with at least the portion of the collaboration session. A source for information associated with the recommendation is searched based upon, at least in part, analyzing at least the portion of the collaboration session. At least one participant of the one or more participants is presented the recommendation and the information associated with the recommendation.

Claims

1. A computer-implemented method comprising:

monitoring, at a computing device, at least a portion of a collaboration session provided by one or more participants of the collaboration session;

analyzing at least the portion of the collaboration session to determine a recommendation associated with at least the portion of the collaboration session including detecting a communication pattern associated with an expression of uncertainty by at least one participant of the collaboration session in response to a request for information from another participant;

identifying at least one term from at least the portion of the collaboration session based upon, at least in part, analyzing at least the portion of the collaboration session, wherein the at least one term includes at least one of a name and a name relative to a subject;

searching a source for information associated with the recommendation based upon, at least in part, analyzing at least the portion of the collaboration session, wherein searching the source for information associated with the recommendation includes searching the source for information associated with the recommendation according to one or more search preferences, wherein the one or more search preferences are created, via a user interface, from a user preference profile dictating at least one of where the information is searched and in what order of priority, wherein the source is searched using the at least one term identified from at least the portion of the collaboration session and the information associated with the recommendation is responsive to the request for information, wherein searching the source for information, using the at least one term including the name, includes identifying at least one social networking platform relative to the name; and

presenting, via the user interface, to at least one participant of the one or more participants the recommendation and the information associated with the recommendation in response to detecting the communication pattern associated with an expression of uncertainty, wherein presenting the recommendation includes determining which of the at least one social networking platform the at least one participant should use to connect with a party associated with the name.

2. The computer-implemented method of claim 1 wherein at least the portion of the collaboration session includes at least one of audio data and text data.

3. The computer-implemented method of claim 2 wherein analyzing at least the portion of the collaboration session includes transcribing the audio data.

4. The computer-implemented method of claim 1 wherein presenting the recommendation and the information associated with the recommendation includes determining whether a trigger has occurred to present the recommendation and the information associated with the recommendation.

5. The computer-implemented method of claim 4 wherein the trigger includes at least one of receiving a prompt by the at least one participant of the one or more participants, and determining an end of the collaboration session.

6. The computer-implemented method of claim 1 wherein presenting the recommendation and the information associated with the recommendation includes presenting the recommendation and the information associated with the recommendation via at least one of audio and text.

7. A computer program product residing on a non-transitory computer readable storage medium having a plurality of instructions stored thereon which, when executed by a processor, cause the processor to perform operations comprising:

monitoring, at a computing device, at least a portion of a collaboration session provided by one or more participants of the collaboration session;

analyzing at least the portion of the collaboration session to determine a recommendation associated with at least the portion of the collaboration session including detecting a communication pattern associated with an expression of uncertainty by at least one participant of the collaboration session in response to a request for information from another participant;

identifying at least one term from at least the portion of the collaboration session based upon, at least in part, analyzing at least the portion of the collaboration session, wherein the at least one term includes at least one of a name and a name relative to a subject;

searching a source for information associated with the recommendation based upon, at least in part, analyzing at least the portion of the collaboration session, wherein searching the source for information associated with the recommendation includes searching the source for information associated with the recommendation according to one or more search preferences, wherein the one or more search preferences are created, via a user interface, from a user preference profile dictating at least one of where the information is searched and in what order of priority, wherein the source is searched using the at least one term identified from at least the portion of the collaboration session and the information associated with the recommendation is responsive to the request for information, wherein searching the source for information, using the at least one term including the name, includes identifying at least one social networking platform relative to the name; and

presenting, via the user interface, to at least one participant of the one or more participants the recommendation and the information associated with the recommendation in response to detecting the communication pattern associated with an expression of uncertainty, wherein presenting the recommendation includes determining which of the at least one social networking platform the at least one participant should use to connect with a party associated with the name.

8. The computer program product of claim 7 wherein at least the portion of the collaboration session includes at least one of audio data and text data.

9. The computer program product of claim 8 wherein analyzing at least the portion of the collaboration session includes transcribing the audio data.

10. The computer program product of claim 7 wherein presenting the recommendation and the information associated with the recommendation includes determining whether a trigger has occurred to present the recommendation and the information associated with the recommendation.

11. The computer program product of claim 10 wherein the trigger includes at least one of receiving a prompt by the at least one participant of the one or more participants, and determining an end of the collaboration session.

12. The computer program product of claim 7 wherein presenting the recommendation and the information associated with the recommendation includes presenting the recommendation and the information associated with the recommendation via at least one of audio and text.

13. A computing system including a processor and a memory configured to perform operations comprising:

monitoring, at a computing device, at least a portion of a collaboration session provided by one or more participants of the collaboration session;

analyzing at least the portion of the collaboration session to determine a recommendation associated with at least the portion of the collaboration session including detecting a communication pattern associated with an expression of uncertainty by at least one participant of the collaboration session in response to a request for information from another participant;

identifying at least one term from at least the portion of the collaboration session based upon, at least in part, analyzing at least the portion of the collaboration session, wherein the at least one term includes at least one of a name and a name relative to a subject;

searching a source for information associated with the recommendation based upon, at least in part, analyzing at least the portion of the collaboration session, wherein searching the source for information associated with the recommendation includes searching the source for information associated with the recommendation according to one or more search preferences, wherein the one or more search preferences are created, via a user interface, from a user preference profile dictating at least one of where the information is searched and in what order of priority, wherein the source is searched using the at least one term identified from at least the portion of the collaboration session and the information associated with the recommendation is responsive to the request for information, wherein searching the source for information, using the at least one term including the name, includes identifying at least one social networking platform relative to the name; and

presenting, via the user interface, to at least one participant of the one or more participants the recommendation and the information associated with the recommendation in response to detecting the communication pattern associated with an expression of uncertainty, wherein presenting the recommendation includes determining which of the at least one social networking platform the at least one participant should use to connect with a party associated with the name.

14. The computing system of claim 13 wherein at least the portion of the collaboration session includes at least one of audio data and text data.

15. The computing system of claim 14 wherein analyzing at least the portion of the collaboration session includes transcribing the audio data.

16. The computing system of claim 13 wherein presenting the recommendation and the information associated with the recommendation includes determining whether a trigger has occurred to present the recommendation and the information associated with the recommendation.

17. The computing system of claim 16 wherein the trigger includes at least one of receiving a prompt by the at least one participant of the one or more participants, and determining an end of the collaboration session.