TY - GEN
T1 - A case-based solution to the cold-start problem in group recommenders
AU - Quijano-Sánchez, Lara
AU - Bridge, Derek
AU - Díaz-Agudo, Belén
AU - Recio-García, Juan A.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/84896062932
M3 - Conference proceeding
AN - SCOPUS:84896062932
SN - 9781577356332
T3 - IJCAI International Joint Conference on Artificial Intelligence
SP - 3042
EP - 3046
BT - IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence
T2 - 23rd International Joint Conference on Artificial Intelligence, IJCAI 2013
Y2 - 3 August 2013 through 9 August 2013
ER -