目前，常用的包括黑名单与白名单技术、基于关键词搜索以及设定过滤规则等方法。
Nowadays, anti-spam measurements often include black or white list technique, manual rules and keyword based content filtering.
对于垃圾邮件的过滤，有一种主动性相当强的技术，我想称之为“白名单加自动验证”方法。
A fairly aggressive technique for spam filtering is what I would call the "whitelist plus automated verification" approach.
同样的规则也适用于自动白名单，遗漏的垃圾邮件意味着该电子邮件地址将添加到您的白名单中，即使从技术上说它的确是垃圾邮件。
The same rule applies to auto-whitelisting, missed spam that gets through means the e-mail address is added to your whitelist, even thought it's technically spam.
系统采用黑白名单过滤、邮件特征过滤和贝叶斯分类相结合的三层过滤技术，并通过用户反馈机制降低误报率。
The filtering system was built up with multi-layer filtering technology as blacklist technology, characteristic filtering, Naive Bayesian, and user feedback mechanism.
系统采用黑白名单过滤、邮件特征过滤和贝叶斯分类相结合的三层过滤技术，并通过用户反馈机制降低误报率。
The filtering system was built up with multi-layer filtering technology as blacklist technology, characteristic filtering, Naive Bayesian, and user feedback mechanism.
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