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Towards Learning User-Adaptive State Models in a Conversational Recommender System
15th Workshop on Adaptivity and User Modeling in Interactive Systems
Typical conversational recommender systems support interactive strategies that are hard-coded in advance and followed rigidly during a recommendation session. In fact, Reinforcement Learning techniques can be used in order to autonomously learn an optimal (user-adaptive) strategy, basically by exploiting some information ...