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dc.contributor.authorTejeda Lorente, Álvaro
dc.contributor.authorBernabé Moreno, Juan
dc.contributor.authorPorcel Gallego, Carlos Gustavo 
dc.contributor.authorHerrera Viedma, Enrique
dc.identifier.citationTejeda-Lorente, A., Bernabé-Moreno, J., Porcel, C., & Herrera-Viedma, E. (2014). Integrating quality criteria in a fuzzy linguistic recommender system for digital libraries. Procedia Computer Science, 31, 1036-1043. []es_ES
dc.description.abstractRecommender systems can be used in an academic environment to assist users in their decision making processes to find relevant information. In the literature we can find proposals based in user’ profile or in item’ profile, however they do not take into account the quality of items. In this work we propose the combination of item’ relevance for a user with its quality in order to generate more profitable and accurate recommendations. The system measures item quality and takes it into account as new factor in the recommendation process. We have developed the system adopting a fuzzy linguistic approach.es_ES
dc.description.sponsorshipProjects TIN2010-17876, TIC5299 y TIC-5991es_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectRecommender systemes_ES
dc.subjectItem qualityes_ES
dc.subjectUniversity digital libraryes_ES
dc.subjectFuzzy linguistic modelinges_ES
dc.titleIntegrating Quality Criteria in a Fuzzy Linguistic Recommender System for Digital Librarieses_ES

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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España