A Clustering-based Recommendation System

被引：0

作者：

Wu, Shaofei ^{[1
]}

机构：

[1] WuHan Inst Technol, Sch Engn & Comp Sci, Wuhan 430073, Peoples R China

来源：

PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL I: COMPUTER SCIENCE AND ENGINEERING | 2008年

关键词：

recommendation system; clustering; e-commerce;

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：

Recommendation system is one of the important research topics in electronic commerce area. It realizes the personal service system using user's historical information. This paper proposes a collaborative recommendation system based on preference values of user-item category of matrix clustering. Because this method only searches the closest neighbor in the user's category, it can reduce search scope and enhance the performance of real-time response of the recommendation system effectively.

引用

页码：328 / 330

页数：3