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基于兴趣相似度的协作式垃圾邮件过滤方案
引用本文:潘蓝兰,薛开平,洪佩琳.基于兴趣相似度的协作式垃圾邮件过滤方案[J].通信技术,2010,43(2):122-124.
作者姓名:潘蓝兰  薛开平  洪佩琳
作者单位:中国科学技术大学电子工程与信息科学系,信息网络实验室,安徽,合肥,230027
基金项目:国家自然科学基金,安徽省自然基金,安徽省优秀青年人才基金重点项目 
摘    要:由于电子邮件在互联网上的广泛应用,出现了垃圾邮件的泛滥和占用网络带宽,垃圾邮件给用户正常收发邮件造成了严重困扰。提出了一种新的基于兴趣相似度的协作式邮件过滤方案,使得兴趣相似的用户迅速聚合成信息共享的团体,每个用户在团体内选择出最合适的过滤规则集进行有效的共享。实验表明,该方案在保持一定的过滤精度的同时有效降低了误判率。

关 键 词:垃圾邮件  共享  兴趣相似度  协作式过滤

A Collaborative Spam Filter Proposal Based on Interest Similarity
PAN Lan-lan,XUE Kai-ping,HONG Pei-lin.A Collaborative Spam Filter Proposal Based on Interest Similarity[J].Communications Technology,2010,43(2):122-124.
Authors:PAN Lan-lan  XUE Kai-ping  HONG Pei-lin
Affiliation:PAN Lan-lan,XUE Kai-ping,HONG Pei-lin (Information Network Lab of EEIS Department,University of Science , Technology of China (USTC),Hefei Anhui 230027,China)
Abstract:Due to the wide application of e-mail on the Internet, the spam is rampant and occupies the network bandwidty. Spam is a big trouble when people open their mailbox. In this paper, a new collaborative spam filtering proposal based on interest similarity is proposed. Similar users are quickly clustered into the different information-sharing communities. Each user could select the most suitable filtering rule set from the community for sharing. The results of experiment show that the proposal could lower the f...
Keywords:spam  share  interest similarity  collaborative filter  
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