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dc.contributor.authorPorcel Gallego, Carlos Gustavo 
dc.contributor.authorHerce Zelaya, Julio
dc.contributor.authorBernabé Moreno, Juan
dc.contributor.authorTejeda Lorente, Álvaro
dc.contributor.authorHerrera Viedma, Enrique
dc.identifier.citationPorcel, C.; Herce-Zelaya, J.; Bernabé-Moreno, J.; Tejeda-Lorente, A.; Herrera-Viedma, E. (2020). Trust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantology, International Journal of Computers Communications & Control, 15(3), 3858, 2020. []es_ES
dc.description.abstractThe rapid advances in Web technologies are promoting the development of new pedagogic models based on virtual teaching. In this framework, personalized services are necessary. Recommender systems can be used in an academic environment to assist users in their teaching-learning processes. In this paper, we present a trust based recommender system, adopting a fuzzy linguistic modeling, that provides personalized activities to students in order to reinforce their education, and applied it in the field of oral surgery and implantology. We don’t take into account users with similar ratings history but users in which each user can trust and we provide a method to aggregate the trust information. This system can be used in order to aid professors to provide students with a personalized monitoring of their studies with less effort. The results obtained in the experiments proved to be satisfactory.es_ES
dc.publisherAgora University of Oradeaes_ES
dc.rightsAtribución-NoComercial 3.0 España*
dc.subjectRecommender systemes_ES
dc.subjectFuzzy linguistic modelinges_ES
dc.subjectOral surgeryes_ES
dc.titleTrust Based Fuzzy Linguistic Recommender Systems as Reinforcement for Personalized Education in the Field of Oral Surgery and Implantologyes_ES

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