您要查找的是不是：
- Study of File-Structure-Based Vector Space Retrieval Model 基于文档结构的向量空间检索模型研究
- Vector space retrieval model 向量空间模型
- Vector space model is one of the representative information retrieval models, the problems of the model are researched and discussed. 向量空间模型是有代表性的信息检索模型之一,针对该模型存在的问题进行了研究和探讨。
- In information retrieval systems based on the vector space model, the TF-IDF scheme is widely used to characterize documents. 摘要在基于向量空间模型的信息检索系统中，TF-IDF算法被广泛的应用在基于关键字的信息检索中。
- Compared with the vector space model, the probability model is more effective on describing a users interests. 对比实验表明,概率模型比矢量空间模型更好地表达了用户的兴趣和变化。
- Through the vector space model, text clustering, genetic algorithms to try a new method summary of the text. 通过空间向量模型、文本聚类、遗传算法等成熟的技术尝试一种新的文本摘要方法。
- Case retrieval model directly impacts Case-Based Reasoning(CBR). 事例检索模型直接影响基于事例推理(Case-BasedReasoning,CBR)的结果。
- We propose a text vector space model (VSM) based on suffix tree and implement a text categorizing system on the model. 摘要本文在面向网络内容分析的前提下，提出了一种基于后缀树的文本向量空间模型(VSM)，并在此模型之上实现了文本分类系统。
- This paper introduces a text clustering method based on VSM (vector space model). 摘要研究了一种基于向量空间模型的文档聚类方法。
- In the paper, a method is proposed based on vector space model making use of the structure to effectively retrieve HTML document. ? 应用了向量空间信息检索方法,扩展了传统的信息检索,利用HTML文档结构提高了在WWW环境下的检索效率。
- Aimed at the problems of document automatic classification,a classification method is proposed based on fuzzy vector space model and RBF network. 针对文本自动分类问题,提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
- The Derivative of a Map between Vector Spaces. 向量空间之间映射的微分。
- The algorithm utilized VSM (vector space model) to represent users' interests and resources, calculated recommended degree by cosine similarity. 该算法采用矢量空间模型作为用户兴趣和资源描述模型，使用余弦相似度计算资源推荐度；
- In view of the defect,a method of Chinese text categorization based on the word vector space model is presented in this paper. 针对这一不足,该文提出基于词向量空间模型的文本分类方法。
- The principal of Vector Space Model is presented and comprehensively studied, and we analyze the performance criterias of document searching system. 摘要文章介绍了向量空间模型的基本原理，分析了文本检索系统常用的性能评估标准。
- Index weight is important in retrieval model of Case-Based Reasoning(CBR) system. 指标权重的确定在基于实例推理(CBR)系统的检索模型中起着重要的作用。
- The new method establishes vector space model of term weight according to the theory of latent semantic index, and may eliminate disadvantageous factors. 该方法应用lsi理论来建立文本集的向量空间模型;在词条的权重中引入了语义关系;消减了原词条矩阵中包含的"噪声"因素;从而更加突出了词和文本之间的语义关系.
- Our automatic multi-document summarization system combine a series of NLP techniques, such as text segmentation, text clustering and Vector Space Model. 系统综合了一些自然语言处理技术，包括文本分段、文本段聚类、向量空间模型的相似度计算等。
- The measure for relativity is key to information retrieval, so a series of information retrieval model (IRM) are put forward to answer it in theory and practice. 关于相关性的计量一直是情报检索的核心问题,为此,人们提出了一系列检索模型。
- Mathematicianstalk about axioms, integrals, and vector spaces. 数学家谈论的是公理、积分和向量空间。
