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Intelligent recommendation system for e-learning platforms

dc.contributor.authorTavares, Bruno
dc.contributor.authorFaria, Luiz
dc.contributor.authorMartins, Constantino
dc.date.accessioned2013-11-20T12:36:14Z
dc.date.available2013-11-20T12:36:14Z
dc.date.issued2012
dc.date.updated2013-10-09T13:48:21Z
dc.description.abstractAs more and more digital resources are available, finding the appropriate document becomes harder. Thus, a new kind of tools, able to recommend the more appropriated resources according the user needs, becomes even more necessary. The current project implements an intelligent recommendation system for elearning platforms. The recommendations are based on one hand, the performance of the user during the training process and on the other hand, the requests made by the user in the form of search queries. All information necessary for decision-making process of recommendation will be represented in the user model. This model will be updated throughout the target user interaction with the platform.por
dc.identifier.isbn9781618041067
dc.identifier.urihttp://hdl.handle.net/10400.22/2886
dc.language.isoengpor
dc.publisherWSEAS Presspor
dc.relation.publisherversionhttp://www.wseas.us/e-library/conferences/2012/Porto/MAMECTIS/MAMECTIS-35.pdfpor
dc.subjectUser modelingpor
dc.subjectUser-adapted systemspor
dc.subjectRecommending systemspor
dc.subjecte-learning systemspor
dc.subjectquery clusteringpor
dc.titleIntelligent recommendation system for e-learning platformspor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlacePORTOpor
oaire.citation.title14th WSEAS International Conference on MATHEMATICAL METHODS, COMPUTATIONAL TECHNIQUES AND INTELLIGENT SYSTEMS (MAMECTIS'12)por
person.familyNameFaria
person.givenNameLuiz
person.identifier.orcid0000-0002-1169-7785
person.identifier.scopus-author-id7005022382
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication9de0e99c-714f-4ccd-9d43-0740f2ed662c
relation.isAuthorOfPublication.latestForDiscovery9de0e99c-714f-4ccd-9d43-0740f2ed662c

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