Dynamic facet ordering for faceted product search engines

D. Vandic, S. Aanen, F. Frasincar, U. Kaymak

Research output: Contribution to journalArticleAcademicpeer-review

16 Citations (Scopus)

Abstract

Faceted browsing is widely used in Web shops and product comparison sites. In these cases, a fixed ordered list of facets is often employed. This approach suffers from two main issues. First, one needs to invest a significant amount of time to devise an effective list. Second, with a fixed list of facets, it can happen that a facet becomes useless if all products that match the query are associated to that particular facet. In this work, we present a framework for dynamic facet ordering in e-commerce. Based on measures for specificity and dispersion of facet values, the fully automated algorithm ranks those properties and facets on top that lead to a quick drill-down for any possible target product. In contrast to existing solutions, the framework addresses e-commerce specific aspects, such as the possibility of multiple clicks, the grouping of facets by their corresponding properties, and the abundance of numeric facets. In a large-scale simulation and user study, our approach was, in general, favorably compared to a facet list created by domain experts, a greedy approach as baseline, and a state-of-the-art entropy-based solution.
Original languageEnglish
Article number7815437
Pages (from-to)1004-1016
Number of pages13
JournalIEEE Transactions on Knowledge and Data Engineering
Volume29
Issue number5
DOIs
Publication statusPublished - 1 May 2017

Keywords

  • Facet ordering
  • product search
  • user interfaces

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