Application Research of Web Log Mining in the E-commerce

被引：0
|
作者：
Wang, Yuanyuan [1 ]
Liu, Hailin [1 ]
Liu, Qianqian [1 ]
机构：
[1] Weifang Engn Vocat Coll, Dept Informat Engn, Qingzhou 262500, Shandong, Peoples R China
来源：
PROCEEDINGS OF THE 32ND 2020 CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2020) | 2020年
关键词：
Web log mining; data mining; e-commerce; personalized recommendation; website systems;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Web log mining is an effective data mining and analysis processing technology based on Web logs. The development of e-commerce is an important symbol of modern business models. This paper introduces the concept of Web log mining, analyzes the process of Web log mining, and discusses the application of Web log mining technology in e-commerce. Applying Web log mining technology to the development of e-commerce can not only improve user experience and satisfy user preferences for personalized recommendation, but also help e-commerce companies understand customer intent, identify potential customers, improve and enhance website systems, and promote the development of the e-commerce industry.
引用
收藏
页码：349 / 352
页数：4
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