为了获得高效的超文本分类算法 ,提出了一种新的协调分类超文本算法 ,并将 k- NN,Bayes和文档相似性引入了超文本分类领域 ,且对这 3种分类器的超文本的分类效果进行了实验比较 ,最终得出一个高效的超文本分类器 .目前 ,该方法已应用于新开发的两个实验系统 :智能搜索引擎系统 Web Search和智能软件助理 Web Soft In order to obtain efficient hypertext classification algorithm, a new coordinated classification hypertext algorithm is proposed, and the k-NN, Bayes and document similarity are introduced into the field of hypertext classification, and the hypertext of these three classifiers Finally, an efficient Hypertext Classifier is proposed.At present, this method has been applied to two newly developed experimental systems: Web Search, an intelligent search engine system, and Web Soft, an assistant software assistant