Web Data Mining-Based Personalized Recommendation System

被引：0

作者：

Xu, Shengjiao ^{[1
]}

Chen, Tinggui ^{[1
]}

机构：

[1] Zhejiang Gongshang Univ, Coll Comp Sci & Informat Engn, Hangzhou 310018, Peoples R China

来源：

ADVANCED RESEARCH ON ELECTRONIC COMMERCE, WEB APPLICATION, AND COMMUNICATION, PT 1 | 2011年 / 143卷

关键词：

Web fuzzy clustering; Web user clustering; Web page clustering; Data mining; personalized Recommendation;

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：

The emergence of personalized recommendation system provides an a powerful tool to solve information overloading. We use web data mining principles (fuzzy clustering algorithm) proposes a personalized recommendation system architecture. It contains user fuzzy clustering and web pages fuzzy clustering. And we respectively describe the implementation processes.

引用

页码：261 / 265

页数：5