本文借鉴邮件过滤算法，通过对中文邮件语料的研究，提出了建设一个基于平凡算法和规则相结合的、具有自适应能力的、实用的邮件分类系统。
So this thesis brings forward to construct a self-adaptive and practical mail classification system based on the integration of normal algorithm with regulations after studying Chinese mail corpus.
在声音邮件方面，那些依赖于报文索引的系统常常依赖于日期标志进行报文分类。
On the voice mail side, systems that rely on message indexing often rely on date stamps to sort messages.
在系统运行初期，由用户指定邮件的类别，系统根据用户的分类建立用户兴趣模型。
In the initial stage of system, user appoints the classification of every mail and system set up a user model according to the classification.
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