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On discovering user's needs in the ontology based portals using implicit relevance feedback

dc.contributor.authorStojanovic, Nenad
dc.contributor.editorDadam, Peter
dc.contributor.editorReichert, Manfred
dc.date.accessioned2019-10-11T11:37:36Z
dc.date.available2019-10-11T11:37:36Z
dc.date.issued2004
dc.description.abstractIn this paper we present a novel approach for discovering preferences of a user who searches for information in an ontology-based portal. The approach is based on analysing the user's searching behaviour regarding the given ontology and the content of the underlying information repository. In that way we develop so called short-term user's profile, that can be used for recommending relevant information to the user. The approach is realized as a method for ranking query refinements in the so-called step-by-step query refinement process. It is very suitable for modelling interactive searching in digital libraries or product catalogues.en
dc.identifier.isbn3-88579-380-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28752
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofInformatik 2004, Informatik verbindet, Band 2, Beiträge der 34. Jahrestagung der Gesellschaft für Informatik e.V. (GI)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-51
dc.titleOn discovering user's needs in the ontology based portals using implicit relevance feedbacken
dc.typeText/Conference Paper
gi.citation.endPage186
gi.citation.publisherPlaceBonn
gi.citation.startPage182
gi.conference.date20.-24. September 2004
gi.conference.locationUlm
gi.conference.sessiontitleRegular Research Papers

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