%0 Journal Article
%T Focused crawling oriented intelligent tunneling algorithm research<br>智能隧道穿越算法研究
%A HUANG Li
%A WANG Cheng-liang
%A YANG Zheng
%A <br>黄莉
%A 王成良
%A 杨铮
%J 计算机应用研究
%D 2009
%I 
%X This paper proposed a new intelligent tunneling algorithm based on deep research on traditional focused crawling strategy. This algorithm combined with tunneling technology and fast online Q(λ) learning and led focused crawler to go through from low relevant areas to high ones with the smallest cost by online learning and experience accumulation. In the simulation experiment, compared intelligent tunneling algorithm with normal tunneling, the result shows that the intelligent tunneling algorithm has reduced the time space complexity and improves performance and increases efficiency of focused crawler.
%K focused crawler
%K focused crawling strategy
%K tunneling
%K online learning
%K Markov<br>主题网络爬虫
%K 爬行策略
%K 隧道
%K 在线学习
%K 马尔可夫
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=3E5BD47E5507666402BCA9C8E81A7591&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=1860C81D5DA29ACB&eid=EC06E8AA53347B6E&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=7