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Intelligent product search with soft-boundary preference relaxation

journal contribution
posted on 2023-06-08, 16:59 authored by Maciej Dabrowski, Thomas Acton, Hans Van Der HeijdenHans Van Der Heijden
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 boundary and the principle of alternative domination to suppress the alternatives on this boundary 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.

History

Publication status

  • Published

Journal

Expert Systems with Applications

ISSN

0957-4174

Publisher

Elsevier

Issue

9

Volume

39

Page range

8279-8287

Department affiliated with

  • Business and Management Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2014-04-01

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