一个基于VSM的个性化信息推荐系统  

A personalization information recommendation system based on VSM

作　　者：李鹏[1] 汪东升[1] 陈康[1] 

机构地区：[1]清华大学计算机系高性能研究所,北京100084

出　　处：《计算机工程与设计》2003年第10期19-22,共4页Computer Engineering and Design

基　　金：国家自然科学基金资助项目(60003003)

摘　　要：为了帮助用户从Internet上方便地获得信息,针对Proxy用户环境设计了一个信息推荐系统。先通过Proxy 日志挖掘获得用户兴趣,再根据向量空间模型为用户生成兴趣特征,并据此对用户进行信息推荐。系统通过服 务评估和反馈来保证信息推荐的质量。A personalization information recommendation system is designed to assists the users of proxy cache service to get information from the Internet. User's interests can be gathered by the data mining procedures from user navigation patterns in the proxy logs. User interest profiles can be achieved according to VSM. Then those profiles are used to filter the information from the Internet and give the appropriate to the users. The feedback technologies are used in the quality evaluation system for better information recommendation.

关 键 词：INTERNET 个性化信息推荐系统 VSM 向量空间模型 用户兴趣特征 

分 类 号：TP393.4[自动化与计算机技术—计算机应用技术]