摘要
给出了对Web页面进行智能个性化检索的系统结构和实现原理,采用Agent技术和用户手工调整相结合的方法确定用户检索的个性化模式,通过K-modes算法聚类学习用户反馈信息,产生新的个性化模式。更精确地满足用户的个性化检索需求,降低了检索结果的重复率,在一定程度上提高了检索的精度和效率。
This paper describes the realizing method and architecture of an intelligent personalized retrieval system on the Web.In the method,the personal pattern can be adjusted not only by user Agent automatically but also by the user himself manually.In the system,K-modes clustering algorithm is used to produce user's personalized information pattern.
出处
《计算机工程与应用》
CSCD
北大核心
2003年第1期195-197,共3页
Computer Engineering and Applications
