Concept Stability for Constructing Taxonomies of Web-site Users

Kuznetsov, Sergei O., Ignatov, Dmitry I.

arXiv.org Artificial Intelligence 

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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