English

Concept Stability for Constructing Taxonomies of Web-site Users

Computers and Society 2016-11-28 v2 Artificial Intelligence Social and Information Networks Machine Learning

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.

Cite

@article{arxiv.0905.1424,
  title  = {Concept Stability for Constructing Taxonomies of Web-site Users},
  author = {Sergei O. Kuznetsov and Dmitry I. Ignatov},
  journal= {arXiv preprint arXiv:0905.1424},
  year   = {2016}
}

Comments

Sergei O. Kuznetsov, D.I. Ignatov, Concept Stability for Constructing Taxonomies of Web-site users, in Proc. Social Network Analysis and Conceptual Structures: Exploring Opportunities, S. Obiedkov, C. Roth (Eds.), Clermont-Ferrand (France), February 16, 2007

R2 v1 2026-06-21T13:00:05.126Z