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PDP
2006
IEEE
13 years 10 months ago
Parallel Adaptive Technique for Computing PageRank
Re-ranking the search results using PageRank is a well-known technique used in modern search engines. Running an iterative algorithm like PageRank on a large web graph consumes bo...
Arnon Rungsawang, Bundit Manaskasemsak
WWW
2003
ACM
14 years 5 months ago
Adaptive ranking of web pages
In this paper, we consider the possibility of altering the PageRank of web pages, from an administrator's point of view, through the modification of the PageRank equation. It...
Ah Chung Tsoi, Gianni Morini, Franco Scarselli, Ma...
WWW
2005
ACM
14 years 5 months ago
Adaptive page ranking with neural networks
Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
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
WWW
2003
ACM
14 years 5 months ago
Adaptive on-line page importance computation
The computation of page importance in a huge dynamic graph has recently attracted a lot of attention because of the web. Page importance, or page rank is defined as the fixpoint o...
Serge Abiteboul, Mihai Preda, Gregory Cobena