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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 HeijdenThis 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 ApplicationsISSN
0957-4174Publisher
ElsevierExternal DOI
Issue
9Volume
39Page range
8279-8287Department affiliated with
- Business and Management Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2014-04-01Usage metrics
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