摘要： 为了有效地组织和分析海量的Web信息，文章应用有指导的机器学习方法实现了一个中文网页分类器，并应用该分类器在“天网”搜索引擎上实现了大规模中文网页的目录导航服务。实验结果表明该分类器有较高的分类质量，满足了中文网页自动分类的要求。

关键词: 机器学习, 中文网页分类, 特征选取, 目录导航

Abstract: To effectively organize and analyze massive Web information, this paper makes use of supervised machine learning theory to implement a Chinese web page classifier, and the classifier is used to implement massive Chinese Web page category navigation in Tianwang search engine. The experimental results demonstrate that the classifier is effective and can satisfy Chinese Web page automatic categorization.

中图分类号: 

• TP393.09