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Towards Complex User Feedback and Presentation Context in Recommender Systems

dc.contributor.authorPeska, Ladislav
dc.contributor.authorVojtas, Peter
dc.contributor.editorMitschang, Bernhard
dc.contributor.editorNicklas, Daniela
dc.contributor.editorLeymann, Frank
dc.contributor.editorSchöning, Harald
dc.contributor.editorHerschel, Melanie
dc.contributor.editorTeubner, Jens
dc.contributor.editorHärder, Theo
dc.contributor.editorKopp, Oliver
dc.contributor.editorWieland, Matthias
dc.date.accessioned2017-06-21T11:24:38Z
dc.date.available2017-06-21T11:24:38Z
dc.date.issued2017
dc.description.abstractIn this paper, we present our work in progress towards employing complex user feedback and its context in recommender systems. Our work is generally focused on small or medium-sized e-commerce portals. Due to the nature of such enterprises, explicit feedback is unavailable, but implicit feedback can be collected in both large amount and rich variety. However, some perceived values of implicit feedback may depend on the context of the page or user’s device (further denoted as presentation context). In this paper, we present an extended model of presentation context, propose methods integrating it into the set of implicit feedback features and evaluate these on the dataset of real e-commerce users. The evaluation corroborated the importance of leveraging presentation context in recommender systems.en
dc.identifier.isbn978-3-88579-660-2
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme für Business, Technologie und Web (BTW 2017) - Workshopband
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-266
dc.subjectRecommender systems
dc.subjectimplicit feedback
dc.subjectpresentation context
dc.subjectuser preference
dc.subjecte- commerce
dc.titleTowards Complex User Feedback and Presentation Context in Recommender Systemsen
dc.typeText/Conference Paper
gi.citation.endPage210
gi.citation.publisherPlaceBonn
gi.citation.startPage203
gi.conference.date6.-10. März 2017
gi.conference.locationStuttgart
gi.conference.sessiontitleWorkshop Präferenzen und Personalisierung in der Informatik (PPI17)

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