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PageRank

Known as: Google's search algorithms, PR10, Google pagerank 
PageRank is a link analysis algorithm and it assigns a numerical weighting to each element of a hyperlinked set of documents, such as the World Wide… Expand
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Papers overview

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Highly Cited
2015
Highly Cited
2015
Google's PageRank method was developed to evaluate the importance of web-pages via their link structure. The mathematics of… Expand
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Highly Cited
2010
Highly Cited
2010
In this paper, we analyze the efficiency of Monte Carlo methods for incremental computation of PageRank, personalized PageRank… Expand
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Highly Cited
2009
Highly Cited
2009
In this paper we propose a new graph-based method that uses the knowledge in a LKB (based on WordNet) in order to perform… Expand
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Highly Cited
2006
Highly Cited
2006
A local graph partitioning algorithm finds a cut near a specified starting vertex, with a running time that depends largely on… Expand
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Highly Cited
2005
Highly Cited
2005
Although the interest of a Web page is strictly related to its content and to the subjective readers' cultural background, a… Expand
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Highly Cited
2004
Highly Cited
2004
With the rapid growth of the Web, users easily get lost in the rich hyper structure. Providing the relevant information to users… Expand
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Highly Cited
2003
Highly Cited
2003
The original PageRank algorithm for improving the ranking of search-query results computes a single vector, using the link… Expand
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Highly Cited
2003
Highly Cited
2003
We present a novel algorithm for the fast computation of PageRank, a hyperlink-based estimate of the ''importance'' of Web pages… Expand
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Highly Cited
2002
Highly Cited
2002
In the original PageRank algorithm for improving the ranking of search-query results, a single PageRank vector is computed, using… Expand
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Highly Cited
1999
Highly Cited
1999
The importance of a Web page is an inherently subjective matter, which depends on the readers interests, knowledge and attitudes… Expand
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