%0 Journal Article
%T About Term Ranking Methods in Relevance Feedback<br>相关反馈技术中的检索词排序算法
%A Song Lingli Cheng Ying
%A <br>宋玲丽
%A 成颖
%J 现代图书情报技术
%D 2004
%I 
%X One common method for query expansion is relevance feedback, and much research work has been done to it. Relevance feedback focuses two aspects: term reweighting and term selection. In this paper, the authors elaborate a few classical term ranking methods, and compare them in retrieval performance. At last, they discuss the problems in implementing relevance feedback.
%K Relevance feedback
%K Term ranking
%K Term weighting
%K Information retrieval<br>相关反馈
%K 检索词排序
%K 检索词加权
%K 信息检索
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=0671185CB347A64F&yid=D0E58B75BFD8E51C&vid=A04140E723CB732E&iid=5D311CA918CA9A03&sid=1AE5323881A5ECDC&eid=F4B561950EE1D31A&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=19