基于用户浏览兴趣模糊聚类研究  

The Research of Fuzzy Clustering Analysis According to Customers' Interests of Browsing

作　　者：周朕[1] 王加阳[1] 

机构地区：[1]中南大学信息科学与工程学院,湖南长沙410083

出　　处：《湖南工业职业技术学院学报》2011年第2期16-18,共3页Journal of Hunan Industry Polytechnic

摘　　要：聚类分析在面向电子商务的数据挖掘中具有重要的意义,网络信息提供服务亟待从用户被动接受访问到电子商务站点对用户进行主动信息推送服务。本文主要研究运用模糊聚类技术针对用户浏览兴趣度量实现用户群组划分,并进行有针对性地网页推荐、商品推荐和服务推荐。Clustering Analysis plays a crucial role in the field of data mining of E-commerce.The service,urgently awaited to be transformed from customers＇ passive visit to E-commerce＇s active service of providing information directly to the users is supplied by network information.This essay is mainly to elaborate the use of Fuzzy Clustering Analysis technology to realize the user groups＇ division based on their browsing habits,and especially makes web page,commodity and service recommendations respectively.

关 键 词：模糊聚类 电子商务 数据挖掘 

分 类 号：N37[自然科学总论]