%0 Journal Article
%T Adaptive PageRank algorithm search strategy for specific topics<br>领域相关自适应的PageRank算法搜索策略
%A PAN Hao
%A TAN Long-yuan
%A <br>潘昊
%A 谭龙远
%J 计算机应用
%D 2008
%I 
%X According to the features of Web links of structural model, a new adaptive PageRank algorithm search strategy for specific topics was proposed. Analysis and simulation results show that the improved algorithm can efficiently save CPU resources, reduce the calculating time, and better resolve the problem of topic-drift.
%K PageRank<br>搜索引擎
%K 排名
%K 链接
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0393C9054C2CD8B6BC18455DF44C55ED&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=9CF7A0430CBB2DFD&sid=E4F478FAB2F30367&eid=1836C42FA42719AB&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=7