A Case-Based Solution to the Cold-Start Problem in Group Recommenders

Quijano, Lara (Complutense University of Madrid) | Bridge, Derek (University College Cork) | Díaz-Agudo, Belén (Universidad Complutense de Madrid) | Recio-García, Juan Antonio (Universidad Complutense de Madrid)

AAAI Conferences 

In this paper we offer a potential solution to the cold-start problem in group recommender systems. To do so, we use information about previous group recommendation events and copy ratings from a user who played a similar role in some previous group event. We show that copying in this way, i.e. conditioned on groups, is superior to copying nothing and also superior to copying ratings from the most similar user known to the system.