基于向量空间模型的信息检索技术研究  

Information retrieval technology based on vector space model

作　　者：刘敏娜[1] 

机构地区：[1]咸阳师范学院信息工程学院,陕西咸阳712000

出　　处：《现代电子技术》2012年第11期186-187,191,共3页Modern Electronics Technique

基　　金：咸阳师范学院项目(09XSYK206)

摘　　要：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。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：TP391.3[自动化与计算机技术—计算机应用技术]