电子邮件是最常用的网络应用之一,已经成为网络交流沟通的重要途径。基于内容的垃圾邮件过滤技术是Internet安全技术研究的一个重点问题。通过垃圾邮件内容过滤中常用方法的比较,得出朴素贝叶斯在性能上优于其它过滤方法。通过对朴素贝叶斯算法进行改进,进一步提高过滤性能。 E-mail is one of the most commonly used web applications and has become an important way to communicate on the Internet. Content-based spam filtering is a key issue in Internet security technology research. Compared with the common methods of spam content filtering, we find that Naive Bayes outperforms other filtering methods in performance. By improving the naive Bayes algorithm, the filtering performance is further improved.