Autonomous recommender system architecture for virtual learning environments

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dc.citation.journalTitleApplied Computing And Informaticseng
dc.contributor.authorMonsalve-Pulido, J.
dc.contributor.authorAguilar, J.
dc.contributor.authorMontoya, E.
dc.contributor.authorSalazar, C.
dc.contributor.departmentUniversidad EAFIT. Departamento de Ingeniería de Sistemasspa
dc.contributor.researchgroupI+D+I en Tecnologías de la Información y las Comunicacionesspa
dc.creatorMonsalve-Pulido, J.
dc.creatorAguilar, J.
dc.creatorMontoya, E.
dc.creatorSalazar, C.
dc.date.accessioned2021-04-12T20:55:49Z
dc.date.available2021-04-12T20:55:49Z
dc.date.issued2020-01-01
dc.description.abstractThis article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture. © 2020 The Authorseng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=11958
dc.identifier.doi10.1016/j.aci.2020.03.001
dc.identifier.issn22108327
dc.identifier.otherSCOPUS;2-s2.0-85081886044
dc.identifier.urihttp://hdl.handle.net/10784/28644
dc.language.isoengeng
dc.publisherElsevier B.V.
dc.relationDOI;10.1016/j.aci.2020.03.001
dc.relationSCOPUS;2-s2.0-85081886044
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85081886044&doi=10.1016%2fj.aci.2020.03.001&partnerID=40&md5=3694eaa66bd82afc052287adffccb2d0
dc.rightsElsevier B.V.
dc.sourceApplied Computing And Informatics
dc.subjectAutonomous computingeng
dc.subjectContext-awareeng
dc.subjectRecommendation systemseng
dc.titleAutonomous recommender system architecture for virtual learning environmentseng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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