Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11562
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dc.contributor.authorPlessers, Ben-
dc.contributor.authorVan Hyfte, Dirk-
dc.contributor.authorSCHREURS, Jeanne-
dc.date.accessioned2011-02-01T07:46:36Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2011-02-01T07:46:36Z-
dc.date.issued2010-
dc.identifier.citationAuer, Michael & Schreurs, Jeanne (Ed.) Academic and corporate e-learning in a global context. p. 583-589.-
dc.identifier.isbn978-3-89958-541-4-
dc.identifier.urihttp://hdl.handle.net/1942/11562-
dc.description.abstractRecommender systems are software sytems that supply users with information in order to help them make decisions, without users have to search for it themselves. A recommender system in an e-learning context is a software agent that tries to "intelligently" recommend actions to a learner based on the actions of previous learners. These recommendations could be on-line activities such as doing an exercise, reading posted messages on a conferencing sytem, or running an on-line simulation, or could be simply a web resource. This paper will make a description for a recommender system that will make use of the Semantic Web and Linked Data. The proposed recommender system will have a Text Mining Module and a Recommender Moduleto make relevant, just in time suggestions to the user.-
dc.language.isoen-
dc.publisherInternational Association on Online Engineering-
dc.titleJust in time and relevant knowledge thanks to recommender systems and sementic web-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsAuer, Michael-
local.bibliographicCitation.authorsSchreurs, Jeanne-
local.bibliographicCitation.conferencenameICL2010-
local.bibliographicCitation.conferenceplaceHasselt 14-18 September 2010-
dc.identifier.epage589-
dc.identifier.spage583-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
local.bibliographicCitation.btitleAcademic and corporate e-learning in a global context-
item.contributorSCHREURS, Jeanne-
item.contributorPlessers, Ben-
item.contributorVan Hyfte, Dirk-
item.fulltextNo Fulltext-
item.fullcitationPlessers, Ben; Van Hyfte, Dirk & SCHREURS, Jeanne (2010) Just in time and relevant knowledge thanks to recommender systems and sementic web. In: Auer, Michael & Schreurs, Jeanne (Ed.) Academic and corporate e-learning in a global context. p. 583-589..-
item.accessRightsClosed Access-
Appears in Collections:Research publications
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