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.
出处
《计算机工程与设计》
CSCD
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)