In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
It monitors the free resource of the system and adjusts a sliding time window on news stream accordingly. This way, the dimensions of document vector and user profile vector change dynamically.
该方法监测系统资源使用情况，通过调整新闻时间窗口、文档向量维度和用户模型关键词维度的方式来动态调整相似度计算的运算量。
The function in Listing 20 returns a vector of vectors. This is because each document could generate zero to many map entries, and each map entry is represented as a vector.
清单20中的函数返回矢量的矢量，这是因为每个文档都可能生成零到多个映射条目，而每个映射条目都被表示为一个矢量。
As an example, you can embed a separate XML format to represent scalable vector graphics within the XML document.
作为一个示例，您可以在XML文档中嵌入一个单独的xml格式来表示可伸缩的矢量图形。
In Part 2, I'll show you how to load, manipulate, or synthesize a DOM document, and create the same bar graph using Scalable Vector Graphics (SVG).
在第2部分，我将向您展示如何装载、操作或者合成一个DOM文档，并用可伸缩矢量图(Scalable VectorGraphics,SVG)创建同样的条形图。
With views, everything that you emit as a key (the first item in the inner vector) is internally paired with the ID of the document that the key came from.
使用视图时，作为key(内部矢量中的第一个条目)发出的东西都在内部与那个key源自的文档的ID配对。
Parallel text document to vector conversion using LLR based ngram generation
结合基于LLR的ngram生成算法并行处理文本文档到向量的转换
Support multiple publishing formats such as PDF (Portable Document format supported by Adobe Acrobat), SVG (Scalable Vector Graphics for images), RSS (Rich Site Summary for Web portals), and more.
支持例如pdf (adobeAcrobat支持的“可移植文档格式”)、SVG(用于图像的“可伸缩向量图形”)、RSS(用于web门户的“丰富站点摘要”)等多种发布格式。
It constructs document feature vector of subject and Keyword separately by using a new method of document feature extraction.
使用新的文档特征抽取方法构造了文档的主题和关键字特征向量。
IE9 reports a UA string, version vector, and document mode to match the default browser behavior, which is the most standards-compliant mode in IE9.
IE9报告ua字符串版本向量和文档的默认浏览器行为模式匹配，这是最符合标准模式在IE9。
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.
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。
In the most categorization algorithms, the text or document is always represented using Vector Space Model.
纲后长数文本开类方式都非以背量空间模型为基本的。
As a result, each document is represented with respect to all such features (all documents have the same number of features) but most of the values will be zero, creating a very sparse vector.
作为一个结果，每个文档表示相对于所有这些特征(所有文件有相同数量的功能)，大部分的值将为零，一个非常稀疏向量生成。
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。
Portable Document format (PDF) files have increasingly been used as a means to deliver spammers' advertisements, but only rarely has the file format been used as an attack vector.
PD F文件已被越来越多地用来作为一种手段来运送垃圾邮件广告，但只有少数的文件格式被用来作为一个攻击向量。
The order in which the terms appear in the document is lost in the vector space representation.
词项在文档中的顺序会在向量空间的表示中忽略。
Under the conditions of preserving the meaning of the sample document, a feature vector which can best reflect the content of the sample document and is comparatively brief is found.
采用演化计算方法，对初步得出的文档矢量做进一步的优化处理，在保证原文含义的基础上，找出最能反映样例文档内容，又比较简洁的特征矢量，并提出新的适应值函数。
So, the traditional KNN arithmetic, clusters training document with highly overlapping word is improved, central vector of cluster is gained.
为此，改进了传统KNN算法，将训练文本中相似度大的文本合并，称为一簇，并计算簇的中心向量。
After analyzing the disadvantages of the user profile based on-keywords vector in the existing document recommendation system, a novel representation of user profile based on clustering was proposed.
分析了现有文章推荐系统中基于关键词向量的用户模型表示方法存在的不足，提出了基于聚类兴趣点的用户模型表示方法。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
The high generalization ability of Support Vector Machine (SVM) makes it especially suitable for the classification of high-dimension data such as term-document.
支持向量机(SVM)高度的泛化能力使它特别适用于高维数据例如文档的分类。
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