On an OptLearn implementation using collaborative filtering.

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dc.centroE.T.S.I. Informáticaes_ES
dc.contributor.authorFuster López, Alejandro
dc.contributor.authorGuerrero-García, Pablo
dc.contributor.authorHendrix, Eligius María Theodorus
dc.contributor.authorMartínez-Cruz, Jesús
dc.contributor.authorNowak, Ivo
dc.date.accessioned2023-07-07T11:43:52Z
dc.date.available2023-07-07T11:43:52Z
dc.date.created2023-07-07
dc.date.issued2023
dc.departamentoArquitectura de Computadores
dc.description.abstractThe aim of the iMath project is to develop a recommender system where a student is recommended a next question or literature in a learning platform MathE. This paper describes the systems developed based on collaborative filtering python application Surprise by the partners of the project based in Universidad de Málaga and Hamburg. Moreover, it describes further development towards hybridization of recommenders and the inclusion of concept maps.es_ES
dc.description.sponsorship2021-1-PT01-KA220-HED-000023288es_ES
dc.identifier.urihttps://hdl.handle.net/10630/27214
dc.language.isoenges_ES
dc.rightsAttribution-NoDerivatives 4.0 Internacional*
dc.rights.accessRightsopen accesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/*
dc.subjectMatemáticas - Estudio y enseñanza - Innovaciones tecnológicases_ES
dc.subjectEnseñanza asistida por ordenadores_ES
dc.subject.otherE-learninges_ES
dc.subject.otherCollaborative filteringes_ES
dc.subject.otherRecommender systemes_ES
dc.subject.otherMathematicses_ES
dc.titleOn an OptLearn implementation using collaborative filtering.es_ES
dc.typejournal articlees_ES
dc.type.hasVersionSMURes_ES
dspace.entity.typePublication
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relation.isAuthorOfPublication0c3992b1-f2f1-4f53-a186-1dbf6d6cef5a
relation.isAuthorOfPublicationb942776a-ad5a-49ae-bd12-f2dec2b8ceba
relation.isAuthorOfPublication.latestForDiscovery335daad0-7001-4b8c-93ae-70873145fbad

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