Group recommendation is the task of recommending items to groups of users instead of single users. Examples are restaurant or movie recommendations for a party of several people (groups vary in composition), or TV program recommendation for a household (groups tend not to change much over time).
One can distinguish between explicit group recommendation, where recommendations are made for groups of known users, and implicit group recommendation, where the group composition is not observed.
- Mark O'Connor, Dan Cosley, Joseph A. Konstan, John Riedl: PolyLens: A Recommender System for Groups of Users, CSCW 2001
- Christophe Senot, Dimitre Kostadinov, Makram Bouzid, Jérôme Picault, Armen Aghasaryan: Evaluation of Group Profiling Strategies, UMAP 2010
- Linas Baltrunas, Tadas Makcinskas, Francesco Ricci: Group Recommendations with Rank Aggregation and Collaborative Filtering, RecSys 2010