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

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https://doi.org/10.1007/978-3-642-32986-9_26

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2013

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https://hdl.handle.net/20.500.14352/94832

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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

Abstract

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.

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33 Ciencias Tecnológicas

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