%0 Journal Article
%T Query Expansion Model Based on Semi-Supervised Learning<br>基于半监督学习的查询扩展模型
%A SU Jun-Jie
%A CHEN Jun
%A <br>苏俊杰
%A 陈俊
%J 计算机系统应用
%D 2012
%I 
%X Query expansion is a optimization method for ＂word mismatch＂ issues in information retrieval domain. By analyzing the shortcomings of existing methods, query expansion model based on semi-supervised learning is proposed, the model seems query expansion as a classification problem, and using transductvie support vector machine to train the samples. Experiments show that the recall and precision rates of search engine are further improved by this method.
%K information retrieve
%K query expansion
%K transductive support vector machines
%K semi-supervised learning
%K SVM<br>信息检索
%K 查询扩展
%K 直推式支持向量机
%K 半监督学习
%K SVM
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=57C6AD9B0ADA05378D14C3F8DCF46F1B&yid=99E9153A83D4CB11&vid=659D3B06EBF534A7&iid=38B194292C032A66&sid=7EBE588F611589FC&eid=798FBE8DE1A255B1&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=4