A Study on Web Log Mining Cluster Algorithm Applied to Web Personalized Recommendation

被引：2

作者：

Zou, Lixia ^{[1
]}

Xue, Hanyan ^{[2
]}

机构：

[1] Henan Radio & Televis Univ, Dept Comp Sci & Technol, Zhengzhou, Henan, Peoples R China

[2] Zhengzhou Inst Aeronaut Ind Management, Dept Comp Sci & Technol, Zhengzhou, Henan, Peoples R China

来源：

2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL VI | 2010年

关键词：

web personalized recommendation; web log mining; cluster analysis; K-Means algorithm;

D O I：

10.1109/ICEAA.2010.5652998

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Nowadays, It has increasingly become an issue in the eyes of many researchers to design intelligent webs with the function of web personalized recommendation by web log mining. In this paper, the author mainly employs K-means algorithm to carry out the Web log mining. Some suggestions about how to improve it are given on the basis of the analyses and many experiments

引用

页码：168 / 171

页数：4