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» Web page rank prediction with markov models
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UM
2001
Springer
14 years 12 days ago
Using Markov Chains for Structural Link Prediction in Adaptive Web Sites
My research investigates into using Markov chains to make link prediction and the transition matrix derived from Markov chains to acquire structural knowledge about Web sites. The ...
Jianhan Zhu
IM
2007
13 years 7 months ago
PageRank of Scale-Free Growing Networks
PageRank is one of the principle criteria according to which Google ranks Web pages. PageRank can be interpreted as a frequency of Web page visits by a random surfer and thus it r...
Konstantin Avrachenkov, Dmitri Lebedev
DAGSTUHL
2007
13 years 9 months ago
A Deeper Investigation of PageRank as a Function of the Damping Factor
PageRank is defined as the stationary state of a Markov chain. The chain is obtained by perturbing the transition matrix induced by a web graph with a damping factor α that spre...
Paolo Boldi, Massimo Santini, Sebastiano Vigna
IJCNN
2006
IEEE
14 years 2 months ago
Predictive Random Graph Ranking on the Web
Abstract— The incomplete information about the Web structure causes inaccurate results of various ranking algorithms. In this paper, we propose a solution to this problem by form...
Haixuan Yang, Irwin King, Michael R. Lyu
WWW
2007
ACM
14 years 8 months ago
Information flow modeling based on diffusion rate for prediction and ranking
Information flows in a network where individuals influence each other. The diffusion rate captures how efficiently the information can diffuse among the users in the network. We p...
Xiaodan Song, Yun Chi, Koji Hino, Belle L. Tseng