Research on Tourism E-commerce based on Data Mining

被引：0

作者：

Liu, Yan ^{[1
,2
]}

机构：

[1] Southwest JiaoTong Univ, Sch Econ & Management, Leshan, Peoples R China

[2] Sichuan Agr Univ, Coll Tourism, Chengdu, Peoples R China

来源：

PROCEEDINGS OF THE AASRI INTERNATIONAL CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (IEA 2015) | 2015年 / 2卷

关键词：

data mining; tourism e-commerce; web data mining; recommended system;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This paper describes in detail the web data mining technology, analyzes the relationship between the data on the web site to the tourism electronic commerce (including the server log, tourism commodity database, user database, the shopping cart), access to relevant user preference information for tourism commodity. Based on these models, the paper presents recommended strategies for the site registered users, and has had the corresponding formulas for calculating the current user of certain items recommended values and the corresponding recommendation algorithm, and the system can get a recommendation for user.

引用

页码：669 / 671

页数：3