Stanford University

Description: Stanford University is one of the world's leading research and teaching institutions. It is located in Palo Alto, California.

Keywords: university, research, undergraduate research, graduate research, humanities, sciences, earth sciences, business, law, engineering, medicine, education, california, palo alto

Stanford.edu has 1,431 URLs listed in 1,077 Dmoz categories.

The Original Google Computer Storage
Photographs of the hardware used in Page and Brin's research, and an article explaining the search engine's history.
http://infolab.stanford.edu/pub/voy/museum/pictures/display/0-4-Google.htm
Top/Computers/Internet/Searching/Search_Engines/Google

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
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

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
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

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
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

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
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

Detecting Colluders in PageRank
PhD thesis by Kahn Mason on methods of discovering groups of websites that collude to boost their reputations, distorting the results of the PageRank algorithm. Stanford University.
http://www.stanford.edu/group/reputation/Mason_Thesis.pdf
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

PageRank Calculation Techniques
Paper by T. Haveliwala, describing efficient techniques for computing PageRank.
http://www-cs-students.stanford.edu/~taherh/papers/efficient-pr.pdf
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

An Analytical Comparison of Approaches to Personalizing PageRank
Taher H. Haveliwala, Sepandar D. Kamvar, and Glen Jeh compare three approaches to personaliizing PageRank.
http://www.stanford.edu/~sdkamvar/papers/comparison.pdf
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

The Anatomy of a Large-Scale Hypertextual Web Search Engine
The definitive paper by Sergey Brin and Lawrence Page describing PageRank, the algorithm that was later incorporated into the Google search engine.
http://infolab.stanford.edu/~backrub/google.html
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers

Finding Near-replicas of Documents on the Web
By Narayanan Shivakumar and Hector Garcia-Molina. Available in Postscript format.
http://infolab.stanford.edu/~shiva/Pubs/web.ps
Top/Computers/Internet/Searching/Search_Engines/Google/Research_Papers