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Exploiting ontologies for better recommendations

dc.contributor.authorUzun, Abdulbaki
dc.contributor.authorRäck, Christian
dc.contributor.editorFähnrich, Klaus-Peter
dc.contributor.editorFranczyk, Bogdan
dc.date.accessioned2019-01-11T10:12:58Z
dc.date.available2019-01-11T10:12:58Z
dc.date.issued2010
dc.description.abstractTraditional recommender systems as they are mostly used in today's recommendation applications (e.g. the SMART Recommendations Engine of Fraunhofer FOKUS) primarily concentrate on recommending items to users. However, thinking of many modern (mobile) applications, contextual and semantic information may provide a significant preciseness to the recommendation process. That's why, Fraunhofer FOKUS' engine has been extended by two new extensions making the engine capable of incorporating contextual and semantic information when generating recommendations. This paper focuses on one of them, the SMART Ontology Extension.en
dc.identifier.isbn978-3-88579-269-7
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/19265
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-175
dc.titleExploiting ontologies for better recommendationsen
dc.typeText/Conference Paper
gi.citation.endPage570
gi.citation.publisherPlaceBonn
gi.citation.startPage565
gi.conference.date27.09.-1.10.2010
gi.conference.locationLeipzig
gi.conference.sessiontitleRegular Research Papers

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