Commercial Navigational Tools That Sort Results Based On Their Dynamic Components

VENGALI SRAVANI, Dr. PRADOSH CHANDRA PATNAIK

Abstract


Faceted navigation is often used on price comparison and shopping websites. It is common practice to employ a predetermined set of characteristics in a predetermined order when addressing issues of this type. There are two significant issues that make this strategy ineffective. The first order of business is to make sure you've allotted ample time to create a thorough list before proceeding with anything else. Second, it's not really helpful to have a large number of aspects if all the products that match your criteria are labeled with the same aspect. This article explains how to use a dynamic facet ordering system to conduct commerce online. The fully automated method rates the features and facets that lead to a quick drill-down for each and every potential target product based on measurements for specificity and dispersion of aspect value dispersion. The framework is an improvement over existing techniques because it accounts for nuances unique to electronic commerce. Some of these peculiarities are the prevalence of number facets, the necessity for multiple clicks, and the grouping of facets based on shared characteristics. In a large-scale simulation and user survey, our method outperformed the standard greedy technique, the domain experts' facet list, and the cutting-edge entropy-based solution. All of the data used in these analyses is identical.


Keywords


Internet Retailing; Interface Design; Facet Searching; And Product Catalogs;

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