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dc.contributor.authorAguilar Castro, J.es_ES
dc.contributor.authorValdiviezo Diaz, P.es_ES
dc.contributor.authorRiofrio Calderon, G.es_ES
dc.description.abstractIn this paper we propose a Fuzzy Cognitive Maps (FCMs) to recommender Learning Resources in a Smart Classroom. We have proposed a Smart Environment for a Classroom in previous works, based on Multi-agent Systems, called SaCI. One of its agents is a recommender system of Learning Resources. In this paper, we define this recommender system using Fuzzy Cognitive Maps. Our recommender system exploits the knowledge, learns, discovers new information, infers preferences, among other thing. For that, it uses five types of knowledge from SaCI: students, learning resources, topics, context and criticism. The performance results of our recommender system based on FCMs are very encouraging.es_ES
dc.subjectFuzzy Cognitive Mapses_ES
dc.subjectRecommender Systemses_ES
dc.subjectLearning Resources.es_ES
dc.titleA Fuzzy Cognitive Map like Recommender System of Learning Resourceses_ES
dc.publisher2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016es_ES
Appears in Collections:Artículos de revistas Científicas

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