Satisfaction prediction model training method and device, electronic equipment and storage medium

Abstract

The invention discloses a satisfaction prediction model training method and device, electronic equipment and a storage medium, and relates to the field of artificial intelligence. According to the specific implementation scheme, an intention prediction model is trained according to an online log of the intelligent dialogue system; and based on the trained intention prediction model, a satisfactiondegree prediction model is trained according to the online log, and the structure of the satisfaction degree prediction model includes the structure of the intention prediction model. According to the technical scheme of the invention, the defect that a satisfaction prediction model in the prior art lacks generalization ability of the same intention can be overcome, the satisfaction prediction model is trained through the trained intention prediction model, and the generalization ability of the same kind of intentions can be realized, so that the same kind of intentions have similar satisfaction, and the accuracy of the satisfaction prediction model can be effectively improved.

Description

technical field [0001] The present application relates to the field of computer application technology, in particular to the field of artificial intelligence technology, and in particular to a training method, device, electronic equipment and storage medium for a satisfaction prediction model. Background technique [0002] In the intelligent dialogue system, the interaction satisfaction of the request statement (ie Query) input by the user can be determined by the satisfaction of the Query itself, the interaction between the user and the intelligent dialogue system (such as user consumption time, user interruption, etc.) ) and the satisfaction of resources (such as the absence of a song's copyright, etc.) and other aspects for comprehensive consideration. Among them, Query satisfaction is an important consideration index of Query interaction satisfaction. Query satisfaction estimation refers to a technology that only estimates the satisfaction of the user's query itself, re...

AI Technical Summary

Problems solved by technology

For example, the training data contains Query "set me an alarm clock", but does not contain queries with similar intentions such as "help me set a reminder", which will make it difficult for the satisfaction prediction model to accurately predict the latter

Therefore, the accuracy of Query satisfaction predicted by the existing Query satisfaction prediction model is poor

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