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基于内容与链接特征的中文垃圾网页分类
引用本文:刘卫红,方卫东,董守斌,张凌.基于内容与链接特征的中文垃圾网页分类[J].微计算机信息,2010(9).
作者姓名:刘卫红  方卫东  董守斌  张凌
作者单位:华南理工大学计算机学院;
摘    要:随着搜索引擎使用的日益普及,web作弊已成为搜索引擎面临的一个重大挑战。国内外研究人员从基于内容,基于链接等方面提出了许多反web作弊的技术,这些技术一定程度上能有效地检测垃圾网页。本文在前人研究基础上提出了一种结合网页内容和链接方面的特征,采用机器学习对中文垃圾网页进行分类检测的方法。实验结果表明,该方法能有效地对中文垃圾网页分类。

关 键 词:网页作弊  搜索引擎  机器学习  

Chinese Web spam Identification through Content and Hyperlinks
LIU Wei-hong FANG Wei-dong DONG Shou-bin ZHANG Ling.Chinese Web spam Identification through Content and Hyperlinks[J].Control & Automation,2010(9).
Authors:LIU Wei-hong FANG Wei-dong DONG Shou-bin ZHANG Ling
Affiliation:LIU Wei-hong FANG Wei-dong DONG Shou-bin ZHANG Ling(School of Computer Science & Engineering,South China University of Technology,Guangzhou 510641,China)
Abstract:Web spam has become one of the severest problems for today's network systems .Overseas researchers have proposed many techniques to combat web spoofing based on the content of and/or the links in a Web page.These techniques have been proved to be useful in detecting spam Web pages.However, most of these techniques are only applicable to pages in foreign languages, and in particular English.So far, little research is done to deal with Web spam in Chinese.Based on related works, we propose a novel Chinese Web...
Keywords:Web spam  Search engine  Machine Learning  
本文献已被 CNKI 等数据库收录!
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