%0 Journal Article
%T User Profile-based Local Context Analysis<br>基于用户兴趣的局部上下文分析方法*
%A LUO Jian-li
%A <br>罗建利
%J 计算机应用研究
%D 2007
%I 
%X Since the precision and recall of Web information retrieval systems was very low now,a new method for automatic query expansion to improve the performance of retrieval was presented.By mining the user profile in client computer,then combining user profile and traditional LCA,the method could resolve the defect of LCA.Experimental results showed that this technique can improve the precision and recall of Web information retrieval markedly compared with conventional ones.
%K information retrieval
%K query expansion
%K local context analysis
%K user profile<br>信息检索
%K 查询扩展
%K 局部上下文分析
%K 用户兴趣
%K 用户兴趣模型
%K 局部
%K 上下文分析
%K 方法
%K Context
%K Analysis
%K Local
%K 查全率与查准率
%K 显示
%K 结果
%K 实验
%K 缺陷
%K 结合
%K 挖掘模型
%K 客户端
%K 设计
%K 性能
%K 个性化
%K 存在
%K 信息检索
%K 网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=EF4AD2E7BFCF0B3090C1F0B947C2BE63&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=E158A972A605785F&sid=4D7D059FFBF006B9&eid=7ABC4505E3960D2B&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8