Recommender systems are software applications that help users to find items of interest in
situations of information overload. Current research often assumes a one-shot interaction …

Conversational recommender systems (CRS) aim to recommend high-quality items to users
through interactive conversations. Although several efforts have been made for CRS, two …

Recommender systems are embracing conversational technologies to obtain user
preferences dynamically, and to overcome inherent limitations of their static models. A …

Conversational recommender systems aim to interactively support online users in their
information search and decision-making processes in an intuitive way. With the latest …

Conversational and question-based recommender systems have gained increasing
attention in recent years, with users enabled to converse with the system and better control …

Conversational recommender systems (CRSs) provide recommendations through
interactive conversations. CRSs typically provide recommendations through relatively …

Although paths of user interests shift in knowledge graphs (KGs) can benefit conversational
recommender systems (CRS), explicit reasoning on KGs has not been well considered in …