垃圾邮件的改进贝叶斯过滤算法

在研究贝叶斯过滤算法原理和实现方法的基础上，将垃圾邮件的先验概率由常数改进为实际概率，改进了token的选取范围和选取规则，在检测内容上增加url和图片。最后设计了一个基于改进贝叶斯过滤算法的垃圾邮件过滤器。实验结果表明，这种改进的贝叶斯过滤算法在垃圾邮件过滤中有良好的应用效果。

Improved Bayesian filtering algorithm for spam

Based on the theory and practice of Bayesian filtering algorithms,a detailed process for improving the algorithm is put forward.Firstly,instead of a constant probability of spam,the actual prior probability is used.Secondly,the selective scope and rules of token are improved.Finally,url and images are added to the detected content.A spam filter based on the improved Bayesian filtering algorithm has been designed.Test results show that the improved Bayesian filtering algorithm works well in practice.