Concept Stability for Constructing Taxonomies of Web-site Users
Sergei O. Kuznetsov, Dmitry I. Ignatov

TL;DR
This paper introduces a formal concept-based method utilizing stability indices to efficiently construct and analyze user group taxonomies for websites, aiding site optimization.
Contribution
It presents a novel approach combining formal concepts and stability indices to manage large concept sets in user group taxonomies.
Findings
Effective reduction of concept complexity using stability indices
Application to three different websites demonstrating practical utility
Enhanced understanding of user group structures
Abstract
Owners of a web-site are often interested in analysis of groups of users of their site. Information on these groups can help optimizing the structure and contents of the site. In this paper we use an approach based on formal concepts for constructing taxonomies of user groups. For decreasing the huge amount of concepts that arise in applications, we employ stability index of a concept, which describes how a group given by a concept extent differs from other such groups. We analyze resulting taxonomies of user groups for three target websites.
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Taxonomy
TopicsSemantic Web and Ontologies · Advanced Text Analysis Techniques · Rough Sets and Fuzzy Logic
