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dc.contributor.authorTejeda Lorente, Álvaro
dc.contributor.authorBernabé Moreno, Juan
dc.contributor.authorPorcel Gallego, Carlos Gustavo 
dc.contributor.authorGalindo Moreno, Pablo Antonio 
dc.contributor.authorHerrera Viedma, Enrique
dc.identifier.citationTejeda-Lorente, Á., Bernabé-Moreno, J., Porcel, C., Galindo-Moreno, P., & Herrera-Viedma, E. (2015). A dynamic recommender system as reinforcement for personalized education by a fuzzly linguistic web system. Procedia Computer Science, 55, 1143-1150. []es_ES
dc.descriptionInformation Technology and Quantitative Management (ITQM 2015)es_ES
dc.description.abstractThe seek of a personalized and quality education is the objective of Bologna process, but to carry out this task has a major economic impact. To soften this impact, one possible solution is to make use of recommender systems, which have already been introduced in several academic fields. In this paper, we present AyudasCBI, a novel fuzzy linguistic Web system that uses a recommender system to provide personalized activities to students to reinforce their individualized education. This system can be used in order to aid professors to provide students with a personalized monitoring of their studies with less effort. To prove the system, we conduct a study involving some students, aiming at measuring their performance. The results obtained proved to be satisfactory compared with the rest of the students who did not take part of the study.es_ES
dc.description.sponsorshipProjects TIC-5991 and TIN2013-40658-Pes_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectRecommender systemes_ES
dc.subjectHealth carees_ES
dc.subjectFuzzy linguistic modelinges_ES
dc.subjectOral surgeryes_ES
dc.titleA dynamic recommender system as reinforcement for personalized education by a fuzzly linguistic web systemes_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