超文本协调分类器的性能研究

THE PERFORMANCE RESEARCH OF HYPERTEXT COORDINATE CLASSIFIERS

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

In order to obtain high efficient hypertext classification algorithms, a new coordinate hypertext classification algorithm is proposed. The k NN, naive Bayes and similarity are also introduced to classify the hypertext, and experiments are conducted to compare the three classifiers' effects. Finally, a high effective hypertext classifier is obtained. Now, this classification method has been used in two new systems: The intelligent search engine system (WebSearch) and the intelligent software assistant system (WebSoft).