Genetic Based Approach To Improve E-Commerce Web Site Usability

被引：0
|
作者：
Mary, S. Prince [1 ]
Baburaj, E. [2 ]
机构：
[1] Sathyabama Univ, Dept Comp Sci & Engn, Chennai, Tamil Nadu, India
[2] Sun Engn Coll, Dept Comp Sci Engn, Nagercoi, India
来源：
2013 FIFTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING (ICOAC) | 2013年
关键词：
Web Log; Preprocessing; Informative Rule; Genetic Algorithm; Recommendation Tree;
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：
Nowadays, an ever-growing use of the internet has been greatly affecting the significance of E-Commerce web sites. To assist clients in searching the products they need, recommendation systems are implemented in E-Commerce web sites. A recommendation system should also provide necessary information to clients about the products that they might be interested in. An algorithm is proposed here to make the E-Commerce websites more flexible and highly usable.
引用
收藏
页码：395 / 399
页数：5
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