计算机与现代化 ›› 2010, Vol. 1 ›› Issue (01): 140-142,.doi: 10.3969/j.issn.1006-2475.2010.01.039

• 信息安全 • 上一篇    下一篇

一种使用渗透搜索的协作式博客垃圾过滤系统模型

杨静丽   

  1. 南京工业职业技术学院信息工程系,江苏 南京 210046
  • 收稿日期:2009-06-18 修回日期:1900-01-01 出版日期:2010-01-15 发布日期:2010-01-15

A Collaborative Blog Spam Filtering System Model Using Percolation Search

YANG Jing-li   

  1. Department of Information Engineering, Nanjing Institute of Industry Technology, Nanjing 210046, China
  • Received:2009-06-18 Revised:1900-01-01 Online:2010-01-15 Published:2010-01-15

摘要: 提出一种新型的协作式过滤方法来处理博客中的链接垃圾,关键思想是依靠垃圾的手工识别同时通过一个信任网络分享关于垃圾的一些信息。已经识别垃圾的博主告诉一小部分博主(主要是通过内容植入),同时没有收到信息的博主使用协作式渗透搜索和内容植入,来确定被识别的垃圾的信息。

关键词: 渗透搜索, 协作式, 博客垃圾

Abstract: This paper proposes a novel collaborative filtering method for link spams on Blogs. The key idea is to rely manual identification of spams and share this information about spams through a network of trust. The bolggers who has identified a spam tells a small number of fellow bloggers(content implantation), and those who have not heard about it start a search using a percolation search, combined with content implantation, they confirm the information about identified spam.

Key words: percolation search, collaborative, Bolg spam

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