%0 Journal Article
%T Improved Relevance Ranking in WebGather
%A LEI Ming
%A Wang Jianyong
%A CHEN Baojue
%A LI Xiaoming
%A <br>雷鸣
%A 王建勇
%J 计算机科学技术学报
%D 2001
%I 
%X The amount of information on the web is growing rapidly and search engines that rely on keyword matching usually return too many fow quality matches. To improve search results, a challenging task for search engines is how to effectively calculate a relevane ranking for each web page. This paper discusses in what order a search engine should return the URLs it has produced in response to a user's query so as to show more relevant pages first. Emphasis is given on the ranking functions a-dopted by WebGather that take link structure and user popularity factors into account. Bxperimental results are also presented to evaluate the proposed strategy.
%K World Wide Web
%K search engine
%K relevance ranking
%K WebGather<br>因特多
%K 关产次序
%K WebGatter
%K 计算机网络
%K UNIX
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=211BF3B8665F14FFD4543924F1406209&yid=14E7EF987E4155E6&vid=7801E6FC5AE9020C&iid=94C357A881DFC066&sid=2B25C5E62F83A049&eid=2B25C5E62F83A049&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=7&reference_num=8