%0 Journal Article
%T Survey on relevance feedback for information retrieval<br>信息检索中的相关反馈技术综述
%A YAN Hua-yun
%A LIU Qi-ping
%A XIAO Liang-jun
%A <br>严华云
%A 刘其平
%A 肖良军
%J 计算机应用研究
%D 2009
%I 
%X This paper introduced relevance feedback mothod about vector space model, probability model and language model in information retrieval fields, elaborated how to regulate the weights of terms, expands query, relevance feedback of documents, regulate about the query language model and document language model. It also introduced how to adopt relevance feedback to improve information retrieval performance. It discussed the novel technology of feedback with term feedback technology.At last, discussed the problems of the future direction in relevance feedback, the personality of hierachical feedback and the feedback of using log .
%K information retrieval
%K relevance feedback
%K query expansion<br>信息检索
%K 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=3757F89A22FF75AF34EFDE4AB4258F54&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=CA4FD0336C81A37A&sid=708DD6B15D2464E8&eid=F3583C8E78166B9E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=21