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- W1492014117 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." @default.
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- W1492014117 date "2009-01-01" @default.
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- W1492014117 title "Semantically Enhanced Recommender Systems" @default.
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- W1492014117 doi "https://doi.org/10.1007/978-3-642-05290-3_74" @default.
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