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Title:      IMPROVING CONSUMER DECISIONS THROUGH PREFERENCE RELAXATION
Author(s):      Maciej Dabrowski, Thomas Acton
ISBN:      978-972-8939-09-0
Editors:      Miguel Baptista Nunes, Pedro IsaĆ­as and Philip Powell
Year:      2010
Edition:      Single
Keywords:      e-Commerce, Interactive Decision Aids, Decision Making.
Type:      Short Paper
First Page:      358
Last Page:      361
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper 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 multi-attributed 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 decisionmaking process. We discuss the model and the potential impact of our method based on an evaluation scenario with 56915 real car adverts. Finally, we give an overview of the implications of our study for practitioners and researchers.
   

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