Personalized trip information for E-tourism recommendation system based on Bayes theorem

被引：0
作者：
Srisuwan, Patcharee [1 ]
Srivihok, Anongnart [1 ]
机构：
[1] Kasetsart Univ, Fac Sci, Dept Comp Sci, Bangkok 10900, Thailand
来源：
RESEARCH AND PRACTICAL ISSUES OF ENTERPRISE INFORMATION SYSTEMS II, VOL 2 | 2008年 / 255卷
关键词：
E-commerce; business analytics; personalize; recommendation system; Bayes theorem; E-tourism;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper presents the personalized recommendation system for e-tourism by using statistic technique base on Bayes Theorem to analyze user behaviors and recommend trips to specific users. The system is evaluated by using Recall, Precision and F-measure. Results demonstrate that it is possible to develop Personalization Recommendation System. Past and recent information of customer's behaviors are used for recommending products and services best fit to relevant customers in the e-Tourism.
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收藏
页码：1271 / +
页数：3
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