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dc.contributor.authorDabrowski, Maciejen
dc.date.accessioned2010-11-19T12:13:14Zen
dc.date.available2010-11-19T12:13:14Zen
dc.date.issued2010en
dc.identifier.citationDabrowski, M. and T. Acton (2010). Improving consumer decision making through preference relaxation. IADIS Information Systems 2010. Porto, Portugal.en
dc.identifier.urihttp://hdl.handle.net/10379/1422en
dc.description.abstractIn online shopping scenarios, it can be difficult for consumers to process large amounts of information and make a good purchase decision, particularly for multiattributed products selection. Interactive decision aids that support preferential choice using information filtering are a potential solution to this problem. However, current methods that enable filtering based on initial customer preferences may eliminate potentially valuable alternatives early in the decision process, and possibly negatively impact decision quality. Drawing from recent developments in recommender systems and query rewriting, we propose a new method that minimizes the elimination of high quality alternatives early in the decision-making process. We develop a model of such a decision aid and provide an evaluation scenario based on 56915 adverts gathered from popular used car advertising website. We discuss the potential impact of our method and describe the experimental methodology designed to evaluate our research propositions. Finally, we give an overview of the implications of our study for practitioners and researchers.en
dc.formatapplication/pdfen
dc.language.isoenen
dc.subjecte-Commerceen
dc.subjectInteractive decision aidsen
dc.subjectDecision makingen
dc.subjectEnterprise Agilityen
dc.titleImproving consumer decision making through preference relaxation.en
dc.typeConference Paperen
dc.description.peer-reviewedpeer-revieweden
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