基于Internet的智能个性化检索

On the Intelligent Individuality Search of Internet

本文给出了对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 has discussed the system structure and the realizing principles for the Web Page to make the intelligent individual search.It has taken the method of the Agent technology combining the method of user's manual adjustment to determine the individual model of the user's search.By way of K-modes calculation,it collects the user's feedback to produce a new individual model so as to satisfy more accurately needs of the user's individual search.It also low ers the repeating rate of search results so that it improves,to some extent,the precision and efficiency of the search.