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Simulated analysis of MAUT collaborative filtering for learning object recommendation

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dc.contributor.author Manouselis, N en
dc.contributor.author Vuorikari, R en
dc.contributor.author Van Assche, F en
dc.date.accessioned 2014-06-06T06:47:27Z
dc.date.available 2014-06-06T06:47:27Z
dc.date.issued 2007 en
dc.identifier.issn 16130073 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3600
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-84884608904&partnerID=40&md5=598d07174f2a9a2db719f3e0c0c086eb en
dc.subject Collaborative filtering en
dc.subject Evaluation en
dc.subject Learning object en
dc.subject Simulation en
dc.subject.other Collaborative filtering algorithms en
dc.subject.other Evaluation en
dc.subject.other Learning objects en
dc.subject.other Multi-attribute evaluations en
dc.subject.other Multi-attribute utility en
dc.subject.other On-line communities en
dc.subject.other Simulated analysis en
dc.subject.other Simulation en
dc.subject.other Collaborative filtering en
dc.subject.other Information retrieval en
dc.subject.other Social aspects en
dc.subject.other Engineering education en
dc.title Simulated analysis of MAUT collaborative filtering for learning object recommendation en
heal.type conferenceItem en
heal.publicationDate 2007 en
heal.abstract This paper examines the case of developing a learning resources collaborative filtering service for an online community of teachers in Europe. A data set of multi-attribute evaluations of learning resources has been collected from the teachers who used European Schoolnet's CELEBRATE portal. Using this data set as input, a candidate multi-attribute utility collaborative filtering algorithm is appropriately parameterized and tested for potential implementation on the portal. This simulation experiment may serve as a first step towards the understanding and appropriate specialization of a collaborative filtering service for the given user community. en
heal.journalName CEUR Workshop Proceedings en
dc.identifier.volume 307 en
dc.identifier.spage 27 en
dc.identifier.epage 35 en


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