%0 Journal Article
%T Research and Implementation of Several Key Problems in Feature Choice and Weight Improvement Based on Latent Semantic Indexing<br>基于潜在语义索引的特征选择与权重改进若干关键问题的研究与实现
%A Li Yuanyuan Ma Yongqiang
%A <br>李媛媛
%A 马永强
%J 现代图书情报技术
%D 2007
%I 
%X The basic theory and its features about Latent Semantic Indexing(LSI) are analyzed.For the three factors of LSI,the word selection,dimension simplification,words weighting have been engaged and improved.Scientific and technical literatures from computing are used as testing documents,also the improved weight algorithm and the retrieval results about two LSI systems are analyzed.The experimental results show that the feature choice and retrieval results are superior improved and hard performance with the new weight algorithm.
%K Latent semantic Weighting improvement Data sparse Feature choice<br>潜在语义
%K 权重改进
%K 数据稀疏
%K 特征选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=ECB8206CA6A2608DFB6799DCB01BCAE0&yid=A732AF04DDA03BB3&vid=0B39A22176CE99FB&iid=F3090AE9B60B7ED1&sid=E203FB1A272C9DD2&eid=656F8C8401D91023&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=7