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Semantic Web Technologies in the Service of Personalization Tools
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Author(s): Yolanda Blanco-Fernández (University of Vigo and E.T.S.E. de Telecomunicación, Campus Lagoas-Marcosende, Spain), José J. Pazos-Arias (University of Vigo and E.T.S.E. de Telecomunicación, Campus Lagoas-Marcosende, Spain)and Alberto Gil-Solla (University of Vigo, Spain)
Copyright: 2009
Pages: 20
Source title:
Handbook of Research on Social Dimensions of Semantic Technologies and Web Services
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal), Eva F. Oliveira (Polytechnic Institute of Cavado and Ave, Portugal), Antonio J. Tavares (Polytechnic Institute of Cavado and Ave, Portugal)and Luis G. Ferreira (Polytechnic Institute of Cavado and Ave, Portugal)
DOI: 10.4018/978-1-60566-650-1.ch004
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Abstract
The so-called recommender systems have become assistance tools indispensable to the users in domains where the information overload hampers manual search processes. In literature, diverse personalization paradigms have been proposed to match automatically the preferences of each user (which are previously modelled in personal profiles) against the available items. All these paradigms are laid down on a common substratum that uses syntactic matching techniques, which greatly limit the quality of the offered recommendations due to their inflexible nature. To fight these limitations, this chapter explores a novel approach based on reasoning about the semantics of both the users’ preferences and considered items, by resorting to less rigid inference mechanisms borrowed from the Semantic Web.
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