THE PREFERENCE AND PROFILE ANALYZING ALGORITHM FOR TRAVEL E-COMMERCE USERS BASED ON BAYESIAN NETWORK

被引：0
|
作者：
Cheng Zengping [1 ]
Kuang Xiangling [1 ]
机构：
[1] Hubei Univ Automot Technol, Wuhan, Peoples R China
来源：
2011 3RD INTERNATIONAL CONFERENCE ON COMPUTER TECHNOLOGY AND DEVELOPMENT (ICCTD 2011), VOL 2 | 2012年
关键词：
preference and profile; Bayesian network; travel e-commerce;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
with the rapid development of interne, planning the traveling online through travel e-commerce is accepted by more and more people. Traditional traveling company will mainly focus on the promotion and publicity of the tourism products, few attentions are paid on the customer preference analyzing, which hinders the further application of travel e-commerce. Regarding this problem, this paper presents a Bayesian network based user preference and profile analyzing algorithm which can be used to predict user behavior according to the model trained by history data. The simulation experiment can validate the validity of the method proposed.
引用
收藏
页码：223 / 227
页数：5
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