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
Evaluating expertise recommendations
GROUP '01 Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work
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
Effective explanations of recommendations: user-centered design
Proceedings of the 2007 ACM conference on Recommender systems
APCHI '08 Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction
Communications of the ACM - A Blind Person's Interaction with Technology
PDP '10 Proceedings of the 2010 18th Euromicro Conference on Parallel, Distributed and Network-based Processing
Informing the design of group recommender systems
CHI '12 Extended Abstracts on Human Factors in Computing Systems
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Recommender systems provide users with suggestions of artefacts or other users. Group recommender systems facilitate decision making in groups of users who need to make a choice together. In this paper we introduce a novel approach providing ad-hoc groups of users who want to watch a movie together with shared on-demand recommendations on mobile devices. We present the AGReMo system and report on a user study.