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Group recommendations with rank aggregation and collaborative filtering
2010
Proceedings of the fourth ACM conference on Recommender systems - RecSys '10
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for personal usage but for a group; e.g., a DVD could be watched by a group of friends. In order to generate effective recommendations for a group the system must satisfy, as much as possible, the individual preferences of the group's members. This paper analyzes the effectiveness of group recommendations obtained aggregating the
doi:10.1145/1864708.1864733
dblp:conf/recsys/BaltrunasMR10
fatcat:3qd2qtq46rft3piy32yujfeu2i