采用经典的向量空间模型对网页文本进行分类。

This paper USES the classical vector space model for text classification Web page.

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最后，我们使用经典的向量空间模型来实现文档的分配。

At last, we also employ the classic Vector Space Model to classify the documents.

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实验结果表明：简单的SLM-CIR模型的性能要优于简单的向量空间模型和概率模型。

The experimental result shows that the performance of simple SLM-CIR model should be superior to simple vector space models and probability models.

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