User similarity computing plays a very important role in collaborative filtering systems, user recommendation systems as well as social network services.
用户相似度计算在协同过滤系统、用户推荐系统以及社交网络中有着非常重要的作用。
Sentence similarity computing has been widely used in the field of natural language processing.
句子相似度计算在中文自然语言处理领域有着非常广泛的应用背景。
In example based machine translation, sentence similarity computing is an effective mechanism for example matching.
在基于实例的机器翻译中，句子相似度计算是实例匹配的有效机制。
We divide the system into four main tasks: word segment and sentence segment, syntax analysis, keyword extraction and sentence similarity computing.
本文将阅卷过程分解为四个主要任务来进行的：分句分词、句法分析、关键词提取和相似度计算。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
Based on the analysis of user relationships in the virtual medical communities, the paper proposes a user similarity computing algorithm based on Medical Subject Headings (MeSH).
在对虚拟医疗社区用户关系进行分析的基础上，提出一种基于医学主题词表的用户相似度计算方法。
Absrtact: word similarity computing is a crucial question in information processing technology. It mainly researches what kind of method to calculate or compare the similarity between two words.
摘要：词语相似度计算是信息处理技术中的一个关键问题，主要研究用什么样的方法来计算或比较两个词语的相似性。
The traditional KNN has a fatal defect that time of similarity computing is huge. The practicality will be lost when the KNN is applied to WEB text categorization with high dimension and huge samples.
传统KNN方法的明显缺陷是样本相似度的计算量很大，使其在具有大量高维样本的Web文本分类中缺乏实用性。
The traditional KNN has a fatal defect that time of similarity computing is huge. The practicality will be lost when the KNN is applied to WEB text categorization with high dimension and huge samples.
传统KNN方法的明显缺陷是样本相似度的计算量很大，使其在具有大量高维样本的Web文本分类中缺乏实用性。
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