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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.date.accessioned2020-12-22T10:26:41Z
dc.date.available2020-12-22T10:26:41Z
dc.date.issued2014
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. [https://doi.org/10.1016/j.procs.2014.05.357]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/65094
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.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
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
dc.typeconference outputes_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.1016/j.procs.2014.05.357
dc.type.hasVersionVoRes_ES


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