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arXiv 0905.1424cs.CYcs.AIcs.SIstat.ML
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网站用户分类体系构建中的概念稳定性

Concept Stability for Constructing Taxonomies of Web-site Users

State University Higher School of Economics (HSE)(俄罗斯国家研究型高等经济大学);All-Russia Institute for Scientific and Technical Information (VINITI)(全俄科学技术信息研究所)

Sergei O. Kuznetsov, Dmitry I. Ignatov

摘要:

网站的所有者通常对分析其网站的用户群感兴趣。关于这些群体的信息有助于优化网站的结构和内容。在本文中,我们使用一种基于形式概念的方法来构造用户组的分类。为了减少应用中出现的大量概念,我们引入了概念的稳定性指数,它描述了由概念范围给出的组与其他组的区别。我们分析了三个目标网站的用户组分类。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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