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KDD
2007
ACM
244views Data Mining» more  KDD 2007»
14 years 11 months ago
A Recommender System Based on Local Random Walks and Spectral Methods
In this paper, we design recommender systems for weblogs based on the link structure among them. We propose algorithms based on refined random walks and spectral methods. First, w...
Zeinab Abbassi, Vahab S. Mirrokni
ICITA
2005
IEEE
14 years 4 months ago
Partition-Based Parallel PageRank Algorithm
A re-ranking technique,called “PageRank brings a successful story behind the search engine. Many studies focus on finding an way to compute the PageRank scores of a large web gr...
Arnon Rungsawang, Bundit Manaskasemsak
ICPADS
2005
IEEE
14 years 4 months ago
An Efficient Partition-Based Parallel PageRank Algorithm
PageRank becomes the most well-known re-ranking technique of the search results. By its iterative computational nature, the computation takes much computing time and resource. Res...
Bundit Manaskasemsak, Arnon Rungsawang
ITA
2006
163views Communications» more  ITA 2006»
13 years 10 months ago
Graph fibrations, graph isomorphism, and PageRank
PageRank is a ranking method that assigns scores to web pages using the limit distribution of a random walk on the web graph. A fibration of graphs is a morphism that is a local i...
Paolo Boldi, Violetta Lonati, Massimo Santini, Seb...
EPEW
2005
Springer
14 years 4 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....