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ICDM
2005
IEEE
168views Data Mining» more  ICDM 2005»
13 years 10 months ago
Usage-Based PageRank for Web Personalization
Recommendation algorithms aim at proposing “next” pages to a user based on her current visit and the past users’ navigational patterns. In the vast majority of related algor...
Magdalini Eirinaki, Michalis Vazirgiannis
APWEB
2005
Springer
13 years 6 months ago
A Neural Network Approach to Web Graph Processing
In this paper, we will provide an overview of some of the more recent developments in web graph processing using the classic Google page rank equation as popularized by Brins and P...
Ah Chung Tsoi, Franco Scarselli, Marco Gori, Marku...
WWW
2005
ACM
14 years 5 months ago
On the feasibility of low-rank approximation for personalized PageRank
Personalized PageRank expresses backlink-based page quality around user-selected pages in a similar way to PageRank over the entire Web. Algorithms for computing personalized Page...
András A. Benczúr, Károly Csa...
TREC
2008
13 years 6 months ago
Weighted PageRank: Cluster-Related Weights
PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
Danil Nemirovsky, Konstantin Avrachenkov
WEBI
2007
Springer
13 years 10 months ago
Experimental Bounds on the Usefulness of Personalized and Topic-Sensitive PageRank
PageRank is an algorithm used by several search engines to rank web documents according to their assumed relevance and popularity deduced from the Web’s link structure. PageRank...
Sinan Al-Saffar, Gregory L. Heileman