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WWW
2006
ACM
14 years 5 months ago
Beyond PageRank: machine learning for static ranking
Since the publication of Brin and Page's paper on PageRank, many in the Web community have depended on PageRank for the static (query-independent) ordering of Web pages. We s...
Matthew Richardson, Amit Prakash, Eric Brill
WWW
2005
ACM
14 years 5 months ago
Predictive ranking: a novel page ranking approach by estimating the web structure
PageRank (PR) is one of the most popular ways to rank web pages. However, as the Web continues to grow in volume, it is becoming more and more difficult to crawl all the available...
Haixuan Yang, Irwin King, Michael R. Lyu
WWW
2010
ACM
13 years 11 months ago
Tracking the random surfer: empirically measured teleportation parameters in PageRank
PageRank computes the importance of each node in a directed graph under a random surfer model governed by a teleportation parameter. Commonly denoted alpha, this parameter models ...
David F. Gleich, Paul G. Constantine, Abraham D. F...
AIRWEB
2008
Springer
13 years 6 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...
AIRS
2005
Springer
13 years 10 months ago
Calculating Webpage Importance with Site Structure Constraints
PageRank is one of the most popular link analysis algorithms that have shown their effectiveness in web search. However, PageRank only consider hyperlink information. In this paper...
Hui-Min Yan, Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, ...