Predicting on-line task completion with clickstream complexity measures: A graph-based approach

被引：22

作者：

Kalczynski, Pazuel J. ^{[1
]}

Senecal, Sylvain

Nantel, Jacques

机构：

[1] Univ Toledo, Coll Business Adm, Toledo, OH 43606 USA

[2] HEC Montreal, Montreal, PQ, Canada

来源：

INTERNATIONAL JOURNAL OF ELECTRONIC COMMERCE | 2006年 / 10卷 / 03期

关键词：

clickstream analysis; graph theory; on-line task completion;

D O I：

10.2753/JEC1086-4415100305

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

A model that uses navigational complexity to classify on-line shopping sessions and information-search tasks as successful or unsuccessful is described. A graph-based approach to representing clickstream is employed to capture the complexity. A total of 485 individual goal-oriented shopping sessions on five different Web sites were analyzed. Ten complexity metrics were studied in order to select the ones that can predict the outcome (i.e., success or failure) of a goal-oriented navigational session. The practical applications to e-business, including the implementation of the proposed model, are discussed.

引用

页码：121 / 141

页数：21

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