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Semantically Enhanced Recommender Systems
Manuela Ruiz-Montiel and José F. Aldana-Montes
Departamento de Lenguajes y Ciencias de la Computación,University of Málaga, Españamruizmonti@lcc.uma.es
jfam@lcc.uma.es
Abstract. Recommender Systems have become a significant area in the context of web personalization, given the large amount of available data. Ontologies can be widely taken advantage of in recommender systems, since they provide a means of classifying and discovering of new information about the items to recommend, about user profiles and even about their context. We have developed a semantically enhanced recommender system based on this kind of ontologies. In this paper we present a description of the proposed system.
Keywords: Ontologies, recommender systems, user modelling, personalisation
LNCS 5872, p. 604 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2009