A neural network approach to web graph processing

被引：0
|
作者：
Tsoi, AC
Scarselli, F
Gori, M
Hagenbuchner, M
Yong, SL
机构：
[1] Australian Res Council, Canberra, ACT 2601, Australia
[2] Univ Siena, I-53100 Siena, Italy
[3] Univ Wollongong, Fac Informat, Wollongong, NSW 2522, Australia
来源：
WEB TECHNOLOGIES RESEARCH AND DEVELOPMENT - APWEB 2005 | 2005年 / 3399卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we will provide an overview of some of the more recent developments in web graph processing using the classic Google page rank equation as popularized by Brins and Page [1], and. its modifications, to handle page rank and personalized page rank determinations. It is shown that one may progressively modify the linear matrix stochastic equation underlying the Google page rank determinations [1] to one which may contain neural network formulations. Furthermore the capability of these modifications in determining personalized page ranks is demonstrated through a number of examples based on the web repository WT10C.
引用
收藏
页码：27 / 38
页数：12
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