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WWW
2004
ACM
14 years 6 months ago
The effect of the back button in a random walk: application for pagerank
Theoretical analysis of the Web graph is often used to improve the efficiency of search engines. The PageRank algorithm, proposed by [5], is used by the Google search engine [4] t...
Fabien Mathieu, Mohamed Bouklit
WWW
2004
ACM
14 years 6 months ago
Updating pagerank with iterative aggregation
We present an algorithm for updating the PageRank vector [1]. Due to the scale of the web, Google only updates its famous PageRank vector on a monthly basis. However, the Web chan...
Amy Nicole Langville, Carl Dean Meyer
IPM
2007
156views more  IPM 2007»
13 years 5 months ago
p2pDating: Real life inspired semantic overlay networks for Web search
We consider a network of autonomous peers forming a logically global but physically distributed search engine, where every peer has its own local collection generated by independe...
Josiane Xavier Parreira, Sebastian Michel, Gerhard...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 6 months ago
Estimating the global pagerank of web communities
Localized search engines are small-scale systems that index a particular community on the web. They offer several benefits over their large-scale counterparts in that they are rel...
Jason V. Davis, Inderjit S. Dhillon
ICDCS
2005
IEEE
13 years 11 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