Generating alerts on demand for participants in multiparty discussion channels
Techniques are described with respect to a system, method, and computer product for generating relevance alerts. An associated method includes analyzing a multi-party discussion based on a generated profile associated with a user and assigning at least one relevance value associated with the user to the multi-party discussion based on the analysis and an amount of multi-party discussion participation associated with the user. The method further includes generating an alert for the user to participate in the multi-party discussion in response to determining the relevance value exceeding a relevance threshold associated with the multi-party discussion.
1. A computer-implemented method for generating relevance alerts comprising:
analyzing, by a computing device, a multi-party discussion in multi-party discussion channels based on a generated profile associated with a user;
assigning, by the computing device, at least one relevance value associated with the user to the multi-party discussion based on the analysis and an amount of multi-party discussion participation associated with the user;
in response to determining that the relevance value exceeds a relevance threshold associated with the multi-party discussion, generating, by the computing device, an alert for the user to participate in the multi-party discussion;
wherein the alert comprises a lead time associated with a time interval for the user to participate in the multi-party discussion based on a plurality of predictions; and
clustering a plurality of media content associated with the user based on correlating the relevance threshold to the generated profile.
2. The computer-implemented method of claim 1 , wherein analyzing the multi-party discussion comprises:
monitoring, by the computing device, participant dialogue within the multi-party discussion;
identifying, by the computing device, using natural language processing techniques at least one participant dialogue topic based on the participant dialogue; and
comparing, by the computing device, at least one profile topic derived from the generated profile to the at least one participant dialogue topic.
3. The computer-implemented method of claim 2 , wherein monitoring participant dialogue of the multi-party discussion comprises:
recording, by the computing device, content of the multi-party discussion in an electronic format; and
converting, by the computing device, the content into a text transcript.
4. The computer-implemented method of claim 3 , further comprising:
generating, by the computing device, at least one excerpt of relevant content derived from the transcript based upon the generated profile;
wherein the at least one relevance value is assigned at a time interval of the transcript including the at least one excerpt.
5. The computer-implemented method of claim 1 , wherein the relevance threshold is derived from the computing device analyzing a level of participation of the user in the participant dialogue of the current multi-party discussion.
6. The computer-implemented method of claim 5 , wherein the level of participation is weighed based upon one or more of the generated profile, an activity pattern of the user, and a previous involvement of the user in the dialogue of the multi-party discussion.
7. The computer-implemented method of claim 1 , wherein assigning the at least one relevance value comprises:
utilizing one or more machine learning algorithms to generate the plurality of predictions.
8. The computer-implemented method of claim 1 , wherein the alert is one or more of an email, text message, push notification, push notification, sound notification, vibrate notification, and smart notification.
9. A computer system for generating relevance alerts, the computer system comprising:
one or more processors, one or more computer-readable memories, and program instructions stored on at least one of the one or more computer-readable memories for execution by at least one of the one or more processors to cause the computer system to:
program instructions to analyze a multi-party discussion based on a generated profile associated with a user;
program instructions to assign at least one relevance value associated with the user to the multi-party discussion based on the analysis and an amount of multi-party discussion participation associated with the user;
program instructions to generate an alert for the user to participate in the multi-party discussion in response to a determination that the relevance value exceeds a relevance threshold associated with the multi-party discussion;
wherein the alert comprises a lead time associated with a time interval for the user to participate in the multi-party discussion based on a plurality of predictions; and
program instructions to cluster a plurality of media content associated with the user based on correlating the relevance threshold to the generated profile.
10. The computer system of claim 9 , wherein the program instructions to analyze the multi-party discussion comprise:
program instructions to monitor participant dialogue of the multi-party discussion;
program instructions to identify at least one participant dialogue topic based on the participant dialogue; and
program instructions to compare at least one profile topic derived from the generated profile to the at least one participant dialogue topic.
11. The computer system of claim 10 , wherein the program instructions to monitor participant dialogue of the multi-party discussion comprise:
program instructions to record content of the multi-party discussion; and
program instructions to convert the content into a transcript.
12. The computer system of claim 11 , wherein the program instructions to monitor participant dialogue of the multi-party discussion further comprise:
program instructions to generate at least one excerpt of relevant content derived from the transcript based upon the generated profile;
wherein the at least one relevance value is assigned at a time interval of the transcript including the at least one excerpt.
13. The computer system of claim 11 , wherein the relevance threshold is derived from program instructions to analyze a level of participation of the user in the participant dialogue of the current multi-party discussion.
14. The computer system of claim 13 , wherein the level of participation is weighed based upon one or more of the generated profile, an activity pattern of the user, and a previous involvement of the user in the dialogue of the multi-party discussion.
15. The computer system of claim 9 , wherein the program instructions to assign the at least one relevance value comprises:
program instruction to utilize one or more machine learning algorithms to generate the plurality of predictions.
16. A computer program product for generating relevance alerts, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions being executable by a processor to cause the processor to perform a method comprising:
analyzing a multi-party discussion based on a generated profile associated with a user;
assigning at least one relevance value associated with the user to the multi-party discussion based on the analysis and an amount of multi-party discussion participation associated with the user; and
in response to determining that the relevance value exceeds a relevance threshold associated with the multi-party discussion, generating an alert for the user to participate in the multi-party discussion;
wherein the alert comprises a lead time associated with a time interval for the user to participate in the multi-party discussion based on a plurality of predictions; and
clustering a plurality of media content associated with the user based on correlating the relevance threshold to the generated profile.
17. The computer program product of claim 16 , wherein analyzing the multi-party discussion comprises:
monitoring participant dialogue of the multi-party discussion;
identifying at least one participant dialogue topic based on the participant dialogue; and
comparing at least one profile topic derived from the generated profile to the at least one participant dialogue topic.
18. The computer program product of claim 17 , wherein monitoring participant dialogue of the multi-party discussion comprises:
recording content of the multi-party discussion; and
converting the content into a transcript.
19. The computer program product of claim 18 , further comprising:
generating at least one excerpt of relevant content derived from the transcript based upon the generated profile;
wherein the at least one relevance value is assigned at a time interval of the transcript including the at least one excerpt.
20. The computer program product of claim 16 , wherein the relevance threshold is derived from analyzing a level of participation of the user in the participant dialogue of the current multi-party discussion.