Example based Dialogue System based on Satisfaction Prediction

Abstract

In dialogue system, dialogue modeling is one of the most important factors contributing to user satisfaction. Especially in the Example-Based Dialogue Modeling (EBDM), effective method for selecting response utterances from examples improve dialogue quality. We describe an EBDM framework that predicts user satisfaction to select the best system response for the user from multiple response candidates. This framework select satisfactory response for user preference while prediction using user feedback can be predicts user satisfaction for system responses.