%0 Journal Article %T New Approach of Mining User''s Preferred Browsing Paths
一种新的基于Web日志的挖掘用户浏览偏爱路径的方法 %A REN Yong-gong FU Yu ZHANG Liang LU Jun-yi %A
任永功 %A 付玉 %A 张亮 %A 吕君义 %J 计算机科学 %D 2008 %I %X This article proposed a new approach of mining user's preferred browsing paths based on Web logs.This approach first establishes session matrix and trace matrix by taking browsing interest as the fundamental element based on cell storage structure(storage matrix).Then carries on page clustering in the session matrix through using angle cosine in vector space between two pages,which is called the similar user's page distance formula.And we can get the similar user's relative pages set.Finally,mines the simil... %K Browsing interest %K Path choice-preference %K Web log %K Matrix %K Page cluster
浏览兴趣度 %K 路径选择偏爱度 %K Web日志 %K 矩阵 %K 页面聚类 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=7E09D83E949846FFE30E1DF90CC9C97D&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=F3090AE9B60B7ED1&sid=C29816B2656377A7&eid=E0F6F365E4766526&journal_id=1002-137X&journal_name=计算机科学&referenced_num=1&reference_num=9