一种基于神经网络和主动反馈的反垃圾邮件技术的研究
Research on a Spam Filtering Technique Based on Active Feedback and Neural Networks
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摘要: 在分析传统垃圾邮件过滤技术的基础上, 提出了一种基于神经网络和用户反馈的反垃圾邮件技术.通过引入用户反馈机制, 使用神经网络分类方法, 构建面向特定用户的过滤器, 从而进行垃圾邮件过滤.实验证明, 该方法能够有效地降低误报率, 提高反垃圾邮件系统的可用性, 具有较好的实用效果.Abstract: On the basis of analyzing the traditional spam filtering techniques, this paper presents a novel anti-spam technique based on the users′ feedback.By introducing the novel users′ feedback mechanism, the technique adopts a neural networks approach to construct classifiers for specific users to fulfill spam filtering.Experiments on well-known mail corpus and prototype demonstrate that the technique is able to reduce false positives and improve the availability of anti-spam system.