%0 Journal Article
%T Retrieval Algorithm Based on Hyperlinks and content similarity<br>基于超链接和内容相关度的检索算法
%A ZHANG Na
%A ZHANG Hua-xiang
%A <br>张娜
%A 张化祥
%J 计算机应用
%D 2006
%I 
%X Under the circumstances of web, classical hyperlink analysis algorithms(such as HITS algorithm) mainly focused on the authority of a web page rather than its topic, so it was easy to drift away from the mining topic when traversing the hyperlinks. The cause of topic drifting away in HITS algorithm was analyzed. By combining the topic analysis method with the content relevance evaluation, a novel web information retrieval algorithm - WHITS was presented. Experiment results show that WHITS focuses on mining the potentially semantic relationship between hyperlinks and performs quite well in the topic-specific crawling.
%K HITS
%K hyperlink
%K VSM<br>HITS算法
%K 超链接
%K 向量空间模型
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=6968156B03A55867&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=94C357A881DFC066&sid=D610BE6A5A0C75BF&eid=778972EBEFCE1267&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=9