In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
This paper reports on the design, implementation, and evaluation of a market-based recommender system that suggests relevant documents to users. The key feature of the system is t...
Conversational recommender systems guide users through a product space, alternatively making concrete product suggestions and eliciting the user’s feedback. Critiquing is a comm...
James Reilly, Kevin McCarthy, Lorraine McGinty, Ba...
We examine the case of over-specialization in recommender systems, which results from returning items that are too similar to those previously rated by the user. We propose Outsid...
Zeinab Abbassi, Sihem Amer-Yahia, Laks V. S. Laksh...
Recommender Systems are used in various domains to generate personalized information based on personal user data. The ability to preserve the privacy of all participants is an ess...