%0 Journal Article
%T Study on Web Retrieval Query Fusion Based on Relevance Feedback<br>基于相关反馈的Web检索提问融合研究
%A Jing Jing Hong Ying Jiang Yuanyuan Gao Xiaofeng
%A <br>景璟
%A 洪颖
%A 蒋媛媛
%A 杲晓锋
%J 现代图书情报技术
%D 2011
%I 
%X This paper introduces the combination of query fusion and relevance feedback methods.By analyzing previous TopN documents selection strategy, it puts forward a query fusion algorithm using correlation coefficient to select a variable number of TopN documents in order to extend query, which is called variable TopN feedback-based query fusion algorithm. Fixed and variable TopN query fusion experiments are analyzed separately, and the test results show that the variable TopN feedback method improves the retrieval performance to some extent.
%K Query fusion
%K Relevance feedback
%K Correlation coefficient
%K Meta-search engine<br>提问融合
%K 相关反馈
%K 相关度系数
%K 元搜索引擎
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=B5EDD921F3D863E289B22F36E70174A7007B5F5E43D63598017D41BB67247657&cid=E46382710BF131B2&jid=24AADBCD0D5373C73F37F78D10E2F717&aid=5704D2E38E2B920F7EE0EA14428517A5&yid=9377ED8094509821&vid=DB817633AA4F79B9&iid=CA4FD0336C81A37A&sid=11B4E5CC8CDD3201&eid=95D537AC89B28832&journal_id=1003-3513&journal_name=现代图书情报技术&referenced_num=0&reference_num=0