Semantically Enhanced Recommender Systems

Authors:
Manuela Ruiz-Montiel;José F. Aldana-Montes
Affiliations:
Departamento de Lenguajes y Ciencias de la Computación, University of Málaga, España;Departamento de Lenguajes y Ciencias de la Computación, University of Málaga, España
Venue:
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
Year:
2009

Citing 4
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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.