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

摘要：

with the rapid development of internet, 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.

关键词： preference and profile Bayesian network travel e-commerce

作者: CHENG ZENGPING KUANGXIANGLING

作者单位: Hubei university of automotive technology

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1038-1042

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）