A Fuzzy Cognitive Map like Recommender System of Learning Resources

In 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 p...

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Autor principal: Aguilar Castro, J. (author)
Altres autors: Valdiviezo Diaz, P. (author), Riofrio Calderon, G. (author)
Format: article
Publicat: 2016
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Accés en línia:http://dspace.utpl.edu.ec/handle/123456789/18741
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author Aguilar Castro, J.
author2 Valdiviezo Diaz, P.
Riofrio Calderon, G.
author2_role author
author
author_facet Aguilar Castro, J.
Valdiviezo Diaz, P.
Riofrio Calderon, G.
author_role author
collection Repositorio Universidad Técnica Particular de Loja
dc.creator.none.fl_str_mv Aguilar Castro, J.
Valdiviezo Diaz, P.
Riofrio Calderon, G.
dc.date.none.fl_str_mv 03/08/2016
2016-04-14
2016-11-07
2017-06-16T22:02:17Z
2017-06-16T22:02:17Z
dc.identifier.none.fl_str_mv 10.1109/FUZZ-IEEE.2016.7737873
10.1109/FUZZ-IEEE.2016.7737873
http://dspace.utpl.edu.ec/handle/123456789/18741
dc.language.none.fl_str_mv Inglés
dc.publisher.none.fl_str_mv 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Técnica Particular de Loja
instname:Universidad Técnica Particular de Loja
instacron:UTPL
dc.subject.none.fl_str_mv Fuzzy Cognitive Maps
Recommender Systems
Learning Resources.
dc.title.none.fl_str_mv A Fuzzy Cognitive Map like Recommender System of Learning Resources
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description In 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.
eu_rights_str_mv openAccess
format article
id UTPL_cdab8ef20985bf71d91efd693ad0e214
identifier_str_mv 10.1109/FUZZ-IEEE.2016.7737873
instacron_str UTPL
institution UTPL
instname_str Universidad Técnica Particular de Loja
language_invalid_str_mv Inglés
network_acronym_str UTPL
network_name_str Repositorio Universidad Técnica Particular de Loja
oai_identifier_str oai:dspace.utpl.edu.ec:123456789/18741
publishDate 2016
publisher.none.fl_str_mv 2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2016
reponame_str Repositorio Universidad Técnica Particular de Loja
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Loja
repository_id_str 1227
spelling A Fuzzy Cognitive Map like Recommender System of Learning ResourcesAguilar Castro, J.Valdiviezo Diaz, P.Riofrio Calderon, G.Fuzzy Cognitive MapsRecommender SystemsLearning Resources.In 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.2016 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 20162017-06-16T22:02:17Z2016-04-142017-06-16T22:02:17Z2016-11-0703/08/2016info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article10.1109/FUZZ-IEEE.2016.773787310.1109/FUZZ-IEEE.2016.7737873http://dspace.utpl.edu.ec/handle/123456789/18741Inglésinfo:eu-repo/semantics/openAccessreponame:Repositorio Universidad Técnica Particular de Lojainstname:Universidad Técnica Particular de Lojainstacron:UTPL2017-06-16T22:02:17Zoai:dspace.utpl.edu.ec:123456789/18741Institucionalhttps://dspace.utpl.edu.ec/Institución privadahttps://www.utpl.edu.ec/https://dspace.utpl.edu.ec/oai.Ecuador...opendoar:12272017-06-16T22:02:17Repositorio Universidad Técnica Particular de Loja - Universidad Técnica Particular de Lojafalse
spellingShingle A Fuzzy Cognitive Map like Recommender System of Learning Resources
Aguilar Castro, J.
Fuzzy Cognitive Maps
Recommender Systems
Learning Resources.
status_str publishedVersion
title A Fuzzy Cognitive Map like Recommender System of Learning Resources
title_full A Fuzzy Cognitive Map like Recommender System of Learning Resources
title_fullStr A Fuzzy Cognitive Map like Recommender System of Learning Resources
title_full_unstemmed A Fuzzy Cognitive Map like Recommender System of Learning Resources
title_short A Fuzzy Cognitive Map like Recommender System of Learning Resources
title_sort A Fuzzy Cognitive Map like Recommender System of Learning Resources
topic Fuzzy Cognitive Maps
Recommender Systems
Learning Resources.
url http://dspace.utpl.edu.ec/handle/123456789/18741