%0 Journal Article
%T Evolving Information Filtering for Personalized Information Service
%A Tian Fanjiang
%A Li Congrong
%A Wang Dingxing
%A <br>田范江
%A 李丛蓉
%A 王鼎兴
%J 计算机科学技术学报
%D 2001
%I 
%X Information filtering (IF) systems are important for personalized information service. However, most current IF systems suffer from low quality and long training time. In this paper, a refined evolving information filtering method is presented. This method describes user's information need from multi-aspects and improves filtering quality through a process like natural selection. Experimental result shows this method can shorten training time, improve filtering quality, and reduce the relevance between filtering results and training sequence.
%K information filtering
%K information processing
%K personalized
%K information service<br>信息处理
%K 信息滤波器
%K 结构
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=6A3C240036051279FF71F4E1258E8A28&yid=14E7EF987E4155E6&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=5