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›› 2004, Vol. 30 ›› Issue (02): 95-97.

• 论文 • 上一篇    下一篇

基于自动分类的搜索引擎过滤系统

康平波,王文杰   

  1. 中国科技大学研究生院,中国科学院研究生院信息科学和工程学院 北京 100039
  • 发布日期:2004-01-25

Search Engine Filter System Based on Automatic Classification

KANG Pingbo1, WANG Wenjie2   

  1. (1. Graduate School, University of Science and Technology of China, Beijing 100039; 2. Information Science and Engineering School, Graduate School, Chinese Academy of Sciences , Beijing 100039)
  • Published:2004-01-25

摘要: 随着互联网的普及和发展,网络上的信息资源越来越丰富,如何高效、准确地获得包含用户所需的信息的网页资源,日益成为需要迫切解决的问题。目前搜索引擎返回的搜索结果往往涉及很多领域,而且是大量的,用户从中找到自己所感兴趣的内容往往很困难。利用自动分类器对搜索引擎的返回结果进行分类,以提高检索效率和准确性,方便用户使用。

关键词: 文本自动分类, 主题词, 向量空间模型

Abstract: With the rapid expansion of Internet and the continuous increase of the amout of information on WWW, it is desired to develop high efficiency and intelligentized tools to do it.This paper disusses the combination of the text automatic classification with search engine filter.The goal is to selectively seek out searching results that are relevant to a pre-defined set of topics.This leads to giving customer more convenience and high efficient in searching.

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