一个层次结构用户兴趣模型是一个以单个兴趣向量为节点的树。

A hierarchical user interest model is a tree whose nodes are the single interest vectors.

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分别构建文档特征向量和用户兴趣向量，运用向量空间模型对其做相关性计算，返回用户感兴趣的检索结果。

We set up document feature vectors and user interest vector, and do their correlation calculation by using vector space model, finally return the interested results for the user.

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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.

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