ADAPTABLE ALGORITHM FOR DESIGNED WEB PROCESS SEQUENCE DATA ANALYSIS

被引：1

作者：

Wang, Hai ^{[1
]}

Wang, Shouhong ^{[2
]}

机构：

[1] St Marys Univ, Sobey Sch Business, Halifax, NS B3H 3C3, Canada

[2] Univ Massachusetts, Charlton Coll Business, Dartmouth, MA 02747 USA

来源：

JOURNAL OF ELECTRONIC COMMERCE RESEARCH | 2009年 / 10卷 / 02期

关键词：

Web design; Web process sequence data analysis; designed Web process sequences; shopping cart abandonment; PATTERNS;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

A significant interest for Web process design is to discover the discrepancies between the users' transaction process sequences and the desired process sequence for the Web transaction process. Sequence data analysis has been an important approach to analyzing Web log data in the e-commerce field. There have been many methods for sequence data analysis; however, few existing methods can be applied to analyzing designed Web transaction process sequence data for improving Web process design. This paper proposes an adaptable sequence matching algorithm for analyzing designed Web process sequence data for discovering knowledge about the Web process design. An application of this algorithm to a case of online shopping cart abandonment analysis is presented.

引用

页码：104 / 113

页数：10

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