Automatic Ordering of Facets Based on Machine Learning

  Diksha M,  Raghavendra T.S

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, favourably compared to a facet list created by domain experts, a greedy approach as baseline, and a state-of-the-art entropy-based solution.

Keywords- facet ordering, product search, user interfaces.

Unique Identification Number - IJEDR1801101
Page Number(s) - 582-585
Pubished in - Volume 6 | Issue 1 | March 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Diksha M,  Raghavendra T.S,   "Automatic Ordering of Facets Based on Machine Learning", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 1, pp.582-585, March 2018, Available at :http://www.ijedr.org/papers/IJEDR1801101.pdf