摘要
结合邮件的半结构化特征,将最大熵模型引入垃圾邮件过滤中,构造出基于最大熵模型的垃圾邮件过滤系统框架。在此基础上,将其与Outlook提供的PIA相结合,利用.NET技术开发出基于最大熵模型的垃圾邮件过滤插件,在客户端实现了基于内容的垃圾邮件过滤,较好地解决了垃圾邮件的问题。
Considering the semi-structure characteristic of e-mail, maximum entropy model was applied to spam filtering, and the framework of spam filtering system based on maximum entropy model was constructed. Furthermore, combined with PIA provided by Outlook, an add-in for spam filtering based on maximum entropy model was developed with . NET. This add-in implements content-based spam filtering and keeps users away from spam.
出处
《计算机应用研究》
CSCD
北大核心
2007年第5期223-225,228,共4页
Application Research of Computers
基金
江苏省高技术研究资助项目(BK2003030)
江苏省教育厅自然科学基金资助项目(04KKB320134)