In this paper, a classification algorithm for relational data with user's guidance was proposed.
提出了一种用户指导的关系数据分类算法。
We extended the Naive Bayesian Classifier, applied it in the relational classification filed, and introduced the concept of user's guidance.
对朴素贝叶斯分类算法进行拓展，使其应用到多关系数据分类领域，并引入了用户指导的概念。
If the user's goal is known, even partially, that information can be used to provide personalized guidance.
如果用户的目标已知或部分已知，该信息就可被用来提供个性化指南。
The parameter setting for Random Early Detection(RED) queue management algorithm depends on the user's experience and its related theoretical guidance exists some defects at present.
随机早期检测（RED）队列管理算法的参数设置主要依赖于使用者的经验，并且其相关理论指导存在一定缺陷。
Adopt the method of hidden interest learning based on VSM, and it can learn user's interests without users' direct guidance.
采用了基于向量空间法的隐式兴趣学习方法，能够在没有用户的直接干预下学习到用户的兴趣。
Adopt the method of hidden interest learning based on VSM, and it can learn user's interests without users' direct guidance.
采用了基于向量空间法的隐式兴趣学习方法，能够在没有用户的直接干预下学习到用户的兴趣。
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