Therefore, browse function and similarity query can help users query more flexibly.
因此，浏览功能以及相似性查询，便有助于提供用户一种弹性的查询。
This paper proposed a Clustered Multi Resolution String index structure to solve the problem of sequence similarity query.
本文提出了一种聚类的多解析度字符串索引结构，用于解决生物序列的相似性查询问题。
In the similarity query processing based on high dimensional indexing, the searching space is usually narrowed down by pruning the inactive subspaces which do not contain any query results.
在基于高维索引技术的相似性查询处理中，通常通过过滤那些不包含任何查询结果的非活动子空间来不断缩减搜索空间。
In content based image retrieval system, search engine retrieves the images similar standard to the Cey words query image according to a similarity measure.
在基于图像内容的图像检索系统中，搜索引擎检索图像类似于按照相似标准来查询图像。
On this basis, the scope of expanded concept set is adjusted by the similarity threshold, and the query expansion based on semantic concepts is realized.
在此基础上，通过对相似度阈值的控制来调整扩展概念集的范围和大小，从而实现语义概念层次上的查询扩展。
Application of this model to document retrieval is discussed which includes two aspects: navigating browse and criteria query based on semantic similarity calculation.
对模型在文献检索中的应用进行了初步探讨，包括两方面：导航浏览和基于语义相似度计算的条件查询。
The similarity pattern query about time series is one of the research hotspots in knowledge discovering in the time series database.
时间序列相似性模式搜索是营销时间序列数据仓库中知识发现领域的一个研究热点。
To get the source nodes similar to the target query node, firstly the paths whose lengths were within an interval were extracted from the data source, then a similarity join process between them and.
为返回数据源中与查询目标节点相似的节点，首先提取出数据源中长度在固定范围内的所有路径，然后利用关系数据库系统将其与查询路径进行相似性连接，并按相似度从大到小返回所有结果。
If you review the textbook definition of cosine similarity, you'll find that it's the sum of products of corresponding term weights in a query and a document, normalized.
如果你回顾余弦相似度的教科书的定义，你会发现它是在一个查询和文档的相应术语权重的产品的总和，归一化。
Concerning the keyword search in XML document, the meaningless query results are studied from two aspects: equivalence of content in element labels and similarity in element structure.
针对XML文档关键字搜索问题，从元素标签内容等价和元素结构相似性等价两个方面考虑无效的查询结果。
In candidate sentences selection module, the methods we used to compute the similarity between sentences and query are N-gram modal and Vector Space modal.
相关语句抽取部分的相似度计算使用了N元模型和向量空间模型。
Similarity between query and documents was obtained through computing the similarity between weigh terms of documents and query, and most matching documents were provided.
讨论了检索文档集和检索请求的相似性计算，从而找到与检索请求匹配的文档。
The simplest method is sequentially scanning, measuring the similarity between the query example and each image in database.
最简单的检索方法是顺序扫描数据库中的所有图像，计算它们与检索图例的相似性。
Terms that occur in the document but not the query, or vice versa, have no effect on the similarity.
在文件中而不是查询中出现的词语，或反之亦然，在相似性没有影响。
It follows that, to compute cosine similarity, you only need to consider those documents that have some term in common with the query.
这表明，计算余弦相似度，你只需要把那些文件，有一些术语通常与查询。
The most commonly used method for content-based video retrieval is query by example, so the video similarity measurement becomes a basal problem.
基于内容的视频检索中的一个最普遍的方法是根据给定例子视频的检索，因此视频相似度度量是基于内容检索中的一个基本问题。
Second, we make a conversion from users' query to the thesaurus, then calculate the semantic similarity in the thesaurus network.
对用户的检索，进行查询词到主题词的转化，计算语义相似度，按照 语义相似度算法进行排序文档。
Second, we make a conversion from users' query to the thesaurus, then calculate the semantic similarity in the thesaurus network.
对用户的检索，进行查询词到主题词的转化，计算语义相似度，按照 语义相似度算法进行排序文档。
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