RT Conference Proceedings
T1 A Case-Based Solution to the Cold-Start Problem in Group Recommenders
A1 Quijano-Sanchez, Lara
A1 Bridge, Derek
A1 Díaz Agudo, María Belén
A1 Recio García, Juan Antonio
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.
YR 2013
FD 2013
LK https://hdl.handle.net/20.500.14352/94832
UL https://hdl.handle.net/20.500.14352/94832
LA eng
NO Quijano-Sánchez, L., Bridge, D., Díaz-Agudo, B., Recio-García, J.A. (2012). A Case-Based Solution to the Cold-Start Problem in Group Recommenders. In: Agudo, B.D., Watson, I. (eds) Case-Based Reasoning Research and Development. ICCBR 2012. Lecture Notes in Computer Science(), vol 7466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32986-9_26
DS Docta Complutense
RD 25 dic 2025