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Improving consumer decision making through preference relaxation.

ARAN - Access to Research at NUI Galway

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dc.contributor.author Dabrowski, Maciej en
dc.date.accessioned 2010-11-19T12:13:14Z en
dc.date.available 2010-11-19T12:13:14Z en
dc.date.issued 2010 en
dc.identifier.citation Dabrowski, M. and T. Acton (2010). Improving consumer decision making through preference relaxation. IADIS Information Systems 2010. Porto, Portugal. en
dc.identifier.uri http://hdl.handle.net/10379/1422 en
dc.description.abstract In 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.format application/pdf en
dc.language.iso en en
dc.subject e-Commerce en
dc.subject Interactive decision aids en
dc.subject Decision making en
dc.subject Enterprise Agility en
dc.title Improving consumer decision making through preference relaxation. en
dc.type Conference Paper en
dc.description.peer-reviewed peer-reviewed en

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