[1]章雅娟,张虹.一种垃圾邮件协作过滤模型[J].南京师大学报(自然科学版),2010,33(04):139-143.
　Zhang Yajuan,Zhang Hong.A Spam Collaborative Filtering Model[J].Journal of Nanjing Normal University(Natural Science Edition),2010,33(04):139-143.
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一种垃圾邮件协作过滤模型()
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《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
第33卷
期数:
2010年04期
页码:
139-143
栏目:
计算机科学
出版日期:
2010-12-20

文章信息/Info

Title:
A Spam Collaborative Filtering Model
作者:
章雅娟;张虹;
西南大学计算机与信息科学学院, 重庆400715
Author(s):
Zhang Yajuan; Zhang Hong
Faculty of Computer and Information Science & Software,Southwest University,Chongqing 400715,China
关键词:
垃圾邮件;  反垃圾邮件;  协作过滤
Keywords:
spam;  an t-i spam;  collabo ra tive filter
分类号:
TP393.098
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.
Abstract:
M ost trad itiona l spam filter ing m ethods are based on sing le techno logy, so they can. t effec tive ly preven t the em erg ing new type of spam s. Afterw e have analyzed trad itional filteringm ethods based on s ing le techno logy, a spam co-l laborative filter ingm ode l SCF is proposed. The SCF model can m ake up the shortcom ing s and play the advantag es o f each techno logy. The experim enta l resu lts show tha t th is new ly deve loped SCF model has better recall and prec ision in filter ing spam s.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 中央高校基本科研业务费专项资金( XD JK2009C 018 ) . 通讯联系人: 张 虹, 副教授, 研究方向: 人工智能、视觉认知计算. E-mail:zhangh@ swu. edu. cn
更新日期/Last Update: 2013-04-08