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. © Springer-Verlag 2009.
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CITATION STYLE
Ruiz-Montiel, M., & Aldana-Montes, J. F. (2009). Semantically enhanced recommender systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5872 LNCS, pp. 604–609). https://doi.org/10.1007/978-3-642-05290-3_74
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