向量空间模型的信息检索技术  

Information Retrieval Technology Based on Vector Space Model

作　　者：姚玉开[1] 王烨[1] 卢翠荣[2] 

机构地区：[1]石家庄医学高等专科学校,石家庄050071 [2]河北医科大学西山校区,石家庄050020

出　　处：《价值工程》2013年第13期208-209,共2页Value Engineering

摘　　要：向量空间模型是一种以查询Q和文档集合{D1,D2,…,Dn}为处理对象的算法,通过这种算法计算出这个查询的相似度SC(Q,Di)以及每篇文档Di(1≤i≤n)。为了能够实现对信息检索中的文本分类策略,采用了空间模型算法,做了实验文档测试,获得了各自的权重文档搜索结果,得到在检索过程中,向量空间模型根据文档之间的相似度,计算哪个文档最符合用户输入的关键字的结论,具有信息检索中文本相似度根据权值大小分类显示的特点。Vector space model is a Q query and document collection of {D1,D2,...,Dn}., as the processing object algorithm, this algorithm to calculate the similarity of the query SC （Q,Di） and each document D （1≤i≤n）.In order to realize the text classification in information retrieval,the space model algorithm is adopted in this paper. The weight document search results were obtained by means of the documentation testing in the lab, In a retrieval process, the vector space model is used according to the similarity between documents to calculate which one conforms to user S input key words.It has the characteristics of text similarity display according to the weight classification in the information retrieval.

关 键 词：空间向量模型 查询 信息检索 文档相关性 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]