本文从理论上探讨了向量空间模型及其改进模型在专题文献过滤中的相关算法。
This article discussed the algorithms of literature filtering based on vector space model (VSM) and other improved models.
在文本分类器的设计中，用传统信息检索的空间向量模型改进了朴素贝叶斯分类器，提高了它的分类精度。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
本文就这些问题给予分析并给出了相应的改进方法，最后构建了一个改进后的向量空间模型。
This paper gives an analysis of these problems and provides some corresponding method for improvement. Finally, an improved vector space model is presented.
本文回顾了通用的信息检索技术，尤其是向量空间模型及其改进、倒排索引技术。
Popular Information Retrieval technologies are reviewed, especially VSM, its variants, and also inverted index.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
该文探讨了基于向量空间模型的文本聚类方法，提出 了一种文本聚类的改进算法——LP 算法。
This paper discusses different Vector Space Model(VSM)-based clustering algorithms and presents an improved text clustering algorithm——Level-Panel(LP)algorithm.
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