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Intelligent product search with soft-boundary preference relaxation

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dc.contributor.author Dabrowski, Maciej
dc.contributor.author Acton, Thomas
dc.contributor.author van der Heijen, Hans
dc.date.accessioned 2012-10-04T13:41:20Z
dc.date.available 2012-10-04T13:41:20Z
dc.date.issued 2012
dc.identifier.uri http://hdl.handle.net/10344/2574
dc.description peer-reviewed en_US
dc.description.abstract This paper proposes a novel method for preference relaxation in online product search, which enables consumers to make quality choices without suffering from the commonly experienced information overload. In online shopping scenarios that involve multi-attribute choice tasks, it can be difficult for consumers to process the vast amounts of information available and to make satisfactory buying decisions. In such situations consumers are likely to eliminate potentially good choices early on, using hard-constraint filtering tools. Our approach uses edge sets to identify the alternatives on the soft bounda-ry and the principle of alternative domination to suppress the alternatives on this bounda-ry that are irrelevant. We demonstrate how our approach outperforms existing methods for product search in a set of simulations using two sets of 2650 car advertisements and 1813 digital cameras gathered from a popular online store. en_US
dc.language.iso eng en_US
dc.publisher Elsevier en_US
dc.relation.ispartofseries Expert Systems with Applications;39(9), pp. 8279-8287
dc.rights This is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 39(9), pp. 8279-8287 http://dx.doi.org/10.1016/j.eswa.2012.01.144 en_US
dc.subject decision theory en_US
dc.subject recommender systems en_US
dc.subject preference relaxation en_US
dc.subject electronic commerce en_US
dc.title Intelligent product search with soft-boundary preference relaxation en_US
dc.type info:eu-repo/semantics/article en_US
dc.type.supercollection all_ul_research en_US
dc.type.supercollection ul_published_reviewed en_US
dc.contributor.sponsor SFI en_US
dc.relation.projectid SFI/08/CE/I1380 (Lio2-2) en_US
dc.relation.projectid 10/CE/I1855 en_US
dc.rights.accessrights info:eu-repo/semantics/openAccess en_US

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