%0 Journal Article
%T Information Retrieval Model Based on Relative Feedback<br>一种基于相关反馈的信息检索模型
%A KIM Kwang-hyok
%A WANG Xing-wei
%A QU Da-peng
%A JIANG Ding-de
%A <br>金光赫
%A 王兴伟
%A 曲大鹏
%A 蒋定德
%J 计算机科学
%D 2012
%I 
%X In view of the existing information retrieval systems which are difficult to process document retrieval problem according to query demand, this paper proposed one retrieval model based on relative feedback, analyzed the decomposi- lion of the query words, derived the correlation feedback mechanism and normalization process, and further expounded the document extraction method. Through relative feedback and query expansion, this model can overcome the problem that traditional methods can not calculate the similarity between document and query word, and can effectively deal with document retrieval. The simulation results proved the validity and feasibility of the model.
%K Information retrieval
%K Relative feedback
%K Query spfitting
%K I3oolean retrieval
%K Query expansion<br>信息检索
%K 相关反馈
%K 查询分解
%K 布尔检索
%K 查询扩展
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=F0F98CE13E99B50784318AE7044CE8F6&yid=99E9153A83D4CB11&vid=7C3A4C1EE6A45749&iid=DF92D298D3FF1E6E&sid=B0EBA60720995721&eid=475189FCB44F11F6&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0