| Directory > Computers > Internet > Searching > Search Engines > Google > Research Papers Papers by Googlers
Google supplies a partial list of papers written by people now at Google.
http://labs.google.com/papers.html
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The Google File System
By Ghemawat, Sanjay; Gobioff, Howard; and Leung, Shun-Tak.
http://www.cs.rochester.edu/sosp2003/papers/p125-ghemawat.pdf
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Adaptive Methods for the Computation of PageRank
This paper by Sepandar Kamvar, Taher Haveliwala, and Gene Golub describes an algorithm to speed up
the computation of PageRank using the fact that pages converge at different rates.
http://www.stanford.edu/~sdkamvar/papers/adaptive.pdf
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The Second Eigenvalue of the Google Matrix
This paper by Sepandar Kamvar and Taher Haveliwala proves analytically the second eigenvalue of the
Google Matrix, which has implications for the PageRank algorithm.
http://www.stanford.edu/~sdkamvar/papers/secondeigenvalue.pdf
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Exploiting the Block Structure of the Web for Computing PageRank
This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub presents an
algorithm to vastly speed up the computation of PageRank.
http://www.stanford.edu/~sdkamvar/papers/blockrank.pdf
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Extrapolation Methods for Accelerating PageRank Computations
This paper by Sepandar Kamvar, Taher Haveliwala, Chris Manning, and Gene Golub, published in WWW13,
presents an algorithm to speed up the computation of PageRank by making some initial
approximations.
http://www.stanford.edu/~sdkamvar/papers/extrapolation.pdf
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United States Patent: 6,526,440
Ranking search results by reranking the results based on local inter-connectivity. Inventor Krishna
Bharat; assignee Google.
http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO2&Sect2=HITOFF&p=1&u=/netahtml/s....
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Building a Distributed Full-Text Index for the Web
Paper from WWW10 by Sergey Melnik, Sriram Raghavan, Beverly Yang, Hector Garcia-Molina from the
Computer Science Department at Stanford University.
http://www10.org/cdrom/papers/275/
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A Case Study in Web Search using TREC Algorithms
Paper from WWW10 by Google employees Amit Singhal and Marcin Kaszkiel.
http://www10.org/cdrom/papers/317/
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Topic-Sensitive PageRank
Taher H. Haveliwala's paper for the 11th International World Wide Web Conference explains that
Google proposes to make PageRank reflect importance with respect to a particular topic.
http://dbpubs.stanford.edu:8090/pub/2002-6
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Efficient Computation of PageRank
By Haveliwala, T. Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1999-31
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The Anatomy of a Large-Scale Hypertextual Web Search Engine
By Brin, Sergey; Page, Lawrence. Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1998-8
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Finding Near-replicas of Documents on the Web
By Shivakumar, N.; Garcia-Molina, H. Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1998-31
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Extracting Patterns and Relations from the World Wide Web
By Brin, Sergey. Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1999-65
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Efficient Crawling Through URL Ordering
By Cho, Junghoo; Garcia-Molina, Hector; Page, Lawrence. Available in Postscript, PDF, and plain
text formats.
http://dbpubs.stanford.edu:8090/pub/1998-51
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Dynamic Data Mining: Exploring Large Rule Spaces by Sampling
By Brin, Sergey; Page, Lawrence. Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1999-68
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The PageRank Citation Ranking: Bringing Order to the Web
By Page, Lawrence; Brin, Sergey; Motwani, Rajeev; Winograd, Terry. Available in Postscript, PDF,
and plain text formats.
http://dbpubs.stanford.edu:8090/pub/1999-66
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Computing Iceberg Queries Efficiently
By Fang, Min; Shivakumar, Narayanan; Garcia-Molina, Hector; Motwani, Rajeev; Ullman, Jeffrey D.
Available in Postscript, PDF, and plain text formats.
http://dbpubs.stanford.edu/pub/1999-67
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