The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Web page scoring systems for horizontal and vertical search
Proceedings of the 11th international conference on World Wide Web
Proceedings of the 11th international conference on World Wide Web
Scaling personalized web search
WWW '03 Proceedings of the 12th international conference on World Wide Web
WWW '03 Proceedings of the 12th international conference on World Wide Web
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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 WT10G.