Conversational agent learning model service selection to address a client service request

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computing device to cause the computing device to:

• receive a client service request associated with a client system and data associated with the client service request, wherein the data associated with the client service request includes at least one keyword extracted from the client service request and context information;
• based upon the data associated with the client service request, select at least one model service among a plurality of model services associated with a conversational agent learning model, wherein selecting the at least one model service comprises, responsive to determining that no stored service request among a plurality of stored service requests referenced in a prediction database corresponds to the client service request, evaluating the client service request as follows:
• classifying the data associated with the client service request;
• measuring the classified data based upon multiple predefined factors selected from the group consisting of social media trends, at least one cost variable, and client configuration in terms of network location or assets of the client system;
• selecting the at least one model service responsive to measuring the classified data;
• and
• storing in the prediction database an association between the client service request and the selected at least one model service;
• and
• provide the selected at least one model service to the client system in response to the client service request.

A system comprising:

• a processor;
• and
• a memory storing an application program, which, when executed on the processor, performs an operation comprising:
• receiving a client service request associated with a client system and data associated with the client service request, wherein the data associated with the client service request includes at least one keyword extracted from the client service request and context information;
• based upon the data associated with the client service request, selecting at least one model service among a plurality of model services associated with a conversational agent learning model, wherein selecting the at least one model service comprises, responsive to determining that no stored service request among a plurality of stored service requests referenced in a prediction database corresponds to the client service request, evaluating the client service request as follows:
• classifying the data associated with the client service request;
• measuring the classified data based upon multiple predefined factors selected from the group consisting of social media trends, at least one cost variable, and client configuration in terms of network location or assets of the client system;
• selecting the at least one model service responsive to measuring the classified data;
• and
• storing in the prediction database an association between the client service request and the selected at least one model service;
• and
• providing the selected at least one model service to the client system in response to the client service request.