一种垃圾邮件协作过滤模型  

A Spam Collaborative Filtering Model

作　　者：章雅娟[1] 张虹[1] 

机构地区：[1]西南大学计算机与信息科学学院,重庆400715

出　　处：《南京师大学报（自然科学版）》2010年第4期139-143,共5页Journal of Nanjing Normal University(Natural Science Edition)

基　　金：中央高校基本科研业务费专项资金(XDJK2009C018)

摘　　要：传统垃圾邮件过滤方法大多基于单一技术,已不能有效阻止不断出现的新型垃圾邮件.在分析传统单一过滤方法的基础上,本文提出了一种垃圾邮件协作过滤模型SCF,它可以弥补单一过滤技术的缺点,发挥各技术的优势,从而有效地过滤垃圾邮件.实验结果表明,该模型具有较高的垃圾邮件过滤召回率和正确率.Most traditional spare filtering methods are based on single technology, so they can＇ t effectively prevent the emerging new type of spams. After we have analyzed traditional filtering methods based on single technology, a spam collaborative filtering model SCF is proposed. The SCF model can make up the shortcomings and play the advantages of each technology. The experimental results show that this newly developed SCF model has better recall and precision in filtering spams.

关 键 词：垃圾邮件 反垃圾邮件 协作过滤 

分 类 号：TP393.0[自动化与计算机技术—计算机应用技术]