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» Web page rank prediction with markov models
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WWW
2008
ACM
14 years 5 months ago
Web page rank prediction with markov models
In this paper we propose a method for predicting the ranking position of a Web page. Assuming a set of successive past top-k rankings, we study the evolution of Web pages in terms...
Michalis Vazirgiannis, Dimitris Drosos, Pierre Sen...
WIDM
2005
ACM
13 years 10 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
DAGSTUHL
2007
13 years 6 months ago
Three results on the PageRank vector: eigenstructure, sensitivity, and the derivative
The three results on the PageRank vector are preliminary but shed light on the eigenstructure of a PageRank modified Markov chain and what happens when changing the teleportation ...
David Gleich, Peter W. Glynn, Gene H. Golub, Chen ...
ICDCS
2005
IEEE
13 years 10 months ago
Using a Layered Markov Model for Distributed Web Ranking Computation
The link structure of the Web graph is used in algorithms such as Kleinberg’s HITS and Google’s PageRank to assign authoritative weights to Web pages and thus rank them. Both ...
Jie Wu, Karl Aberer
PAKDD
2004
ACM
131views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Mining of Web-Page Visiting Patterns with Continuous-Time Markov Models
This paper presents a new prediction model for predicting when an online customer leaves a current page and which next Web page the customer will visit. The model can forecast the ...
Qiming Huang, Qiang Yang, Joshua Zhexue Huang, Mic...