Deep conversational recommender systems: challenges and opportunities
Unlike traditional recommender systems, the conversational recommender system (CRS)
models a user's preferences through interactive dialogue conversations. Recently, deep
learning approaches have been applied to CRSs, producing fruitful results. We discuss the
development of deep CRSs and future research directions.
models a user's preferences through interactive dialogue conversations. Recently, deep
learning approaches have been applied to CRSs, producing fruitful results. We discuss the
development of deep CRSs and future research directions.
Unlike traditional recommender systems, the conversational recommender system (CRS) models a user’s preferences through interactive dialogue conversations. Recently, deep learning approaches have been applied to CRSs, producing fruitful results. We discuss the development of deep CRSs and future research directions.
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