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一种改进的余弦向量度量法文本检索模型
引用本文:付永贵.一种改进的余弦向量度量法文本检索模型[J].图书情报工作,2011,55(19):115-119.
作者姓名:付永贵
作者单位:山西财经大学信息管理学院
摘    要:针对用户对索引项要求的不同提出改进余弦向量度量法(ICVMM)文本检索模型,该模型将索引项分为主索引项和特征索引项,根据查询相关文本集中特征索引项相关性概率值来修改文本和查询特征索引项的初始权值;通过实例对传统余弦向量度量法(TCVMM)文本检索模型和ICVMM文本检索模型的查询效率进行对比,说明ICVMM文本检索模型的查询结果更接近用户的需求。

关 键 词:ICVMM文本检索模型  相关性概率值  权值向量  主索引项  特征索引项  
收稿时间:2011-04-26

An Improved Cosine Vector Measuring Method of Text Retrieval Model
Fu Yonggui School of Information Management,Shanxi University of Finance , Economics,Taiyuan.An Improved Cosine Vector Measuring Method of Text Retrieval Model[J].Library and Information Service,2011,55(19):115-119.
Authors:Fu Yonggui School of Information Management  Shanxi University of Finance  Economics  Taiyuan
Institution:School of Information Management, Shanxi University of Finance and Economics,
Abstract:According to different requirements of the users for indexing terms,the paper proposes an improved cosine vector measuring method(ICVMM) of text retrieval model.The model divides the indexing terms into main indexing term and characteristics indexing terms,modifies the initial weight values of characteristics indexing terms of texts and query based on the correlation probability values of characteristics indexing terms of the query related texts set.It compares the query effective of TCVMM text retrieval mo...
Keywords:ICVMM text retrieval model correlation probability value weight vector main indexing term characteristics indexing term  
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