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WWW
2010
ACM
14 years 7 days ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
EPEW
2005
Springer
13 years 10 months ago
Hypergraph Partitioning for Faster Parallel PageRank Computation
The PageRank algorithm is used by search engines such as Google to order web pages. It uses an iterative numerical method to compute the maximal eigenvector of a transition matrix ...
Jeremy T. Bradley, Douglas V. de Jager, William J....
SIGECOM
2005
ACM
93views ECommerce» more  SIGECOM 2005»
13 years 10 months ago
Ranking systems: the PageRank axioms
This paper initiates research on the foundations of ranking systems, a fundamental ingredient of basic e-commerce and Internet Technologies. In order to understand the essence and...
Alon Altman, Moshe Tennenholtz
WWW
2005
ACM
14 years 6 months ago
Predictive ranking: a novel page ranking approach by estimating the web structure
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available...
Haixuan Yang, Irwin King, Michael R. Lyu
CDC
2009
IEEE
285views Control Systems» more  CDC 2009»
13 years 3 months ago
Adaptive randomized algorithm for finding eigenvector of stochastic matrix with application to PageRank
Abstract-- The problem of finding the eigenvector corresponding to the largest eigenvalue of a stochastic matrix has numerous applications in ranking search results, multi-agent co...
Alexander V. Nazin, Boris T. Polyak