Groupware: some issues and experiences
Communications of the ACM
MusicFX: an arbiter of group preferences for computer supported collaborative workouts
CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work
Flytrap: intelligent group music recommendation
Proceedings of the 7th international conference on Intelligent user interfaces
Think different: increasing online community participation using uniqueness and group dissimilarity
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
Two methods for enhancing mutual awareness in a group recommender system
Proceedings of the working conference on Advanced visual interfaces
TV Program Recommendation for Multiple Viewers Based on user Profile Merging
User Modeling and User-Adapted Interaction
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
Do you know?: recommending people to invite into your social network
Proceedings of the 14th international conference on Intelligent user interfaces
Make new friends, but keep the old: recommending people on social networking sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Personalized recommendation of social software items based on social relations
Proceedings of the third ACM conference on Recommender systems
Same places, same things, same people?: mining user similarity on social media
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Group decision making through mediated discussions
UM'03 Proceedings of the 9th international conference on User modeling
The needs of the many: a case-based group recommender system
ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning
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Group and social recommender systems aim to recommend items of interest to a group or a community of people. The user issues in such systems cannot be addressed by examining the satisfaction of their members as individuals. Rather, group satisfaction should be studied as a result of the interaction and interface methods that support group dynamics and interaction. In this paper, we survey the state-of-the-art in user experience design of group and social recommender systems. We further apply the techniques used in the current recommender systems to GroupFun, a music social group recommender system. After presenting the interface and interaction characteristics of GroupFun, we further analyze the design space and propose areas for future research in pursuit of an affective recommender.