Comparing techniques for preference relaxation: A decision theory perspective

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenarios. In contrast to filtering and recommendation mechanisms that are a potential solution to this problem, our method combines decision theory with preference relaxation and enables consumers to consider high-quality alternatives they initially eliminated. We compare our approach with existing methods using a set of 2650 car advertisements gathered from a popular advertiser website. We discuss the potential impact of our method on decision quality and give an overview of implications for practitioners and researchers.

Original languageEnglish
Title of host publicationE-Commerce and Web Technologies - 11th International Conference, EC-Web 2010, Proceedings
PublisherSpringer-Verlag
Pages217-228
Number of pages12
ISBN (Print)3642152074, 9783642152078
DOIs
Publication statusPublished - 2010
Externally publishedYes

Publication series

NameLecture Notes in Business Information Processing
Volume61 LNBIP
ISSN (Print)1865-1348

Keywords

  • Decision Theory
  • eCommerce
  • Preference Relaxation
  • Recommender Systems

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