介绍了各种垃圾邮件过滤技术,重点分析了基于文本内容贝叶斯分类算法的关键技术,并提出了一个多层次垃圾邮件过滤系统模型,该系统将黑名单/白名单技术、规则过滤和最小风险的贝叶斯分类算法结合起来,提高了垃圾邮件过滤的准确率。 The paper introduces various kinds of spam filtering technologies, analyzes the key technologies of Bayesian classification algorithm based on text content, and puts forward a multi-level spam filtering system model. The system filters the blacklist / whitelist, The combination of risky Bayesian classification algorithm improves the accuracy of spam filtering.