Finding the Right Set of Users: Generalized Constraints for Group Recommendations
This addresses the challenge of group formation in recommender systems, but it is incremental as it builds on existing group recommendation research.
The paper tackles the problem of forming appropriate user groups for item recommendations under constraints, presenting a formal model and an algorithm for its solution.
Recently, group recommendations have attracted considerable attention. Rather than recommending items to individual users, group recommenders recommend items to groups of users. In this position paper, we introduce the problem of forming an appropriate group of users to recommend an item when constraints apply to the members of the group. We present a formal model of the problem and an algorithm for its solution. Finally, we identify several directions for future work.