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

An approach is described with respect to conversational agent learning model service selection in response to a client service request. According to such approach, a model advisor may predict which model service(s) may most appropriately address a client issue. A method pertaining to such approach m...

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Bibliographische Detailangaben
Hauptverfasser: Ciano, Giuseppe, Pichetti, Luigi
Format: Patent
Sprache:eng
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Zusammenfassung:An approach is described with respect to conversational agent learning model service selection in response to a client service request. According to such approach, a model advisor may predict which model service(s) may most appropriately address a client issue. A method pertaining to such approach may include 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. The method further may include, 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. The method further may include providing the selection of the at least one model service to the client system in response to the client service request.