%0 Journal Article
%T Automatic summarization based on user''s query expansion<br>.基于用户查询扩展的自动摘要技术*
%A CHEN Zhi-min
%A JANG Yi
%A ZHAO Yao
%A <br>陈志敏
%A 姜艺
%A 赵耀
%J 计算机应用研究
%D 2011
%I 
%X This paper proposed a new document automatic summarization method using non-negative matrix factorization(NMF) and relevance feedback(RF).Firstly,represented the original document as the corresponding semantic feature vector by NMF and the extended user's initial query Key words:by RF,then extracted highly correlative sentences as a summary by calculating the similarity between expand query and semantic feature vector.Experiments show that the final summary can embody the document theme and reflect the us...
%K automatic summarization
%K non-negative matrix factorization
%K relevance feedback
%K query expansion<br>自动摘要，非负矩阵分解，相关反馈，
%K 查询扩展
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=F350020FC69A979017E578EDD58D69D8&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=B31275AF3241DB2D&sid=0E097192A97BABD4&eid=FFE181911AE93FD6&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10