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Adaptive online retail web site based on hidden - markov model
Wang, S; Gao, W; Huang, TJ; Ma, JY; Li, JT; Xie, H
2000
发表期刊WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS
ISSN0302-9743
卷号1846页码:177-188
摘要There are two problems in online retail: 1) The different interest of all customers in the different commodities conflicts with the commodity classification structure of the web site; 2) Customers will simultaneously buy some commodities that are classified in different classes and levels in the web site. The two problems will make the majority of customers access overabundant web pages. To solve these problems, we mine the web data to build a hidden markov model, use association rule discovery to get the large item sets, use Viterbi algorithm to find some paths, mark the large item sets in the nodes of the paths. The large item sets will compete in the nodes for the limited space. Through this approach the web site will adjust itself to reduce the total access times of all users. This method also can be used in analyzing paths, advertisements, and reconstructing the web site.
收录类别SCI
语种英语
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Theory & Methods
WOS记录号WOS:000171155900017
出版者SPRINGER-VERLAG BERLIN
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/13310
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Wang, S
作者单位Chinese Acad Sci, Comp Technol Inst, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Wang, S,Gao, W,Huang, TJ,et al. Adaptive online retail web site based on hidden - markov model[J]. WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS,2000,1846:177-188.
APA Wang, S,Gao, W,Huang, TJ,Ma, JY,Li, JT,&Xie, H.(2000).Adaptive online retail web site based on hidden - markov model.WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS,1846,177-188.
MLA Wang, S,et al."Adaptive online retail web site based on hidden - markov model".WEB-AGE INFORMATION MANAGEMENT, PROCEEDINGS 1846(2000):177-188.
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