Latent class modeling of website users' search patterns: Implications for online market segmentation

被引：33

作者：

Dias, Jose G. ^{[1
,2
]}

Vermunt, Jeroen K. ^{[3
]}

机构：

[1] ISCTE, Higher Inst Social Sci & Business Studies, Dept Quantitat Methods, Edificio ISCTE, P-1649026 Lisbon, Portugal

[2] ISCTE, Higher Inst Social Sci & Business Studies, UNIDE, Edificio ISCTE,Av Forcas Armadas, P-1649026 Lisbon, Portugal

[3] Tilburg Univ, Dept Methodol & Stat, NL-5000 LE Tilburg, Netherlands

来源：

JOURNAL OF RETAILING AND CONSUMER SERVICES | 2007年 / 14卷 / 06期

关键词：

Web usage mining; Market segmentation; Latent class model;

D O I：

10.1016/j.jretconser.2007.02.007

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Appropriate modeling of web use patterns may yield very relevant marketing and retailing information. We propose using a model-based clustering approach for market segmentation based on website users' search patterns. We not only provide a detailed discussion of technical issues such as the problem of the selection of the number of segments, but also a very interesting empirical illustration of the potentials of the proposed approach. (C) 2007 Elsevier Ltd. All rights reserved.

引用

页码：359 / 368

页数：10

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