%0 Journal Article
%T Context-Sensitive Document Ranking
%A Li-Jun Chang
%A Jeffrey Xu Yu
%A Lu Qin
%A <br>常利军
%A 于旭
%A 秦璐
%J 计算机科学技术学报
%D 2010
%I 
%X Ranking is a main research issue in IR-styled keyword search over a set of documents. In this paper, we study a new keyword search problem, called context-sensitive document ranking, which is to rank documents with an additional context that provides additional information about the application domain where the documents are to be searched and ranked. The work is motivated by the fact that additional information associated with the documents can possibly assist users to find more relevant documents when the...
%K document ranking
%K uncertain ranking
%K structure cost
%K similarity<br>
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=1EB66CE36E01E662EE089D90AC34EE3D&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=38B194292C032A66&sid=68FDAD96FCC0AB1B&eid=D0E8F9CBDBE0070C&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=0