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dc.contributor.authorTkalcic M
dc.contributor.authorKosir A
dc.contributor.authorTasic J
dc.contributor.editor
dc.date.accessioned2018-08-01T09:22:24Z
dc.date.available2018-08-01T09:22:24Z
dc.date.issued2011
dc.identifier.issn1613-0073
dc.identifier.urihttp://ceur-ws.org/Vol-811/
dc.identifier.urihttp://hdl.handle.net/10863/5378
dc.description.abstractRecommender systems have traditionally relied on data-centric descriptors for content and user modeling. In recent years we have witnessed an increasing number of attempts to use emotions in di?erent ways to improve the quality of recommender systems. In this paper we introduce a unifying framework that positions the research work, that has been done so far in a scattered manner, in a three stage model. We provide examples of research that cover various aspects of the detection of emotions and the inclusion of emotions into recommender systems.en_US
dc.language.isoenen_US
dc.publisherCEUR-WS.orgen_US
dc.relation.ispartofseriesCEUR Workshop Proceedings;
dc.rights
dc.titleAffective recommender systems: The role of emotions in recommender systemsen_US
dc.typeBook chapteren_US
dc.date.updated2018-05-16T07:37:35Z
dc.publication.titleThe RecSys 2011 Workshops - Decisions@RecSys 2011 and UCERSTI-2: Human Decision Making in Recommender Systems ; User-Centric Evaluation of Recommender Systems and Their Interfaces - 2
dc.language.isiEN-GB
dc.description.fulltextopenen_US


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