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IM
2007
13 years 5 months ago
Approximating Personalized PageRank with Minimal Use of Web Graph Data
Abstract. In this paper, we consider the problem of calculating fast and accurate approximations to the personalized PageRank score of a webpage. We focus on techniques to improve ...
David Gleich, Marzia Polito
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
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
WIDM
2005
ACM
13 years 10 months ago
Web path recommendations based on page ranking and Markov models
Markov models have been widely used for modelling users' navigational behaviour in the Web graph, using the transitional probabilities between web pages, as recorded in the w...
Magdalini Eirinaki, Michalis Vazirgiannis, Dimitri...
AIRWEB
2008
Springer
13 years 7 months ago
Robust PageRank and locally computable spam detection features
Since the link structure of the web is an important element in ranking systems on search engines, web spammers widely use the link structure of the web to increase the rank of the...
Reid Andersen, Christian Borgs, Jennifer T. Chayes...