Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Communications of the ACM
MovieLens unplugged: experiences with an occasionally connected recommender system
Proceedings of the 8th international conference on Intelligent user interfaces
Is seeing believing?: how recommender system interfaces affect users' opinions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
More than the sum of its members: challenges for group recommender systems
Proceedings of the working conference on Advanced visual interfaces
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Communications of the ACM - A Blind Person's Interaction with Technology
Mining relational context-aware graph for rater identification
Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation
Informing the design of group recommender systems
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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Movie recommender systems simplify the movie selection by providing movie suggestions based on the respective user's personal taste. Most of the current systems address individual users, support stationary use, and require pre-configuration. In this paper we present an approach for group recommendations for movies based on a novel group recommender process model for ad-hoc groups with on-demand recommendations.