A survey of Eigenvector Methods for Web Information Retrieval

In the latest issue of SIAM Review (volume 47, no 1) (articles to be available online soon), I read a great paper for those who like mathematics and want a deeper understanding of how Google works. I knew how the PageRank algorithm worked, roughly, but I never imagined it was a true Linear Algebra algorithm. Of course, it is relatively simple as far as Linear Algebra goes, but still…

Published by

Daniel Lemire

A computer science professor at the University of Quebec (TELUQ).

One thought on “A survey of Eigenvector Methods for Web Information Retrieval”

Leave a Reply

Your email address will not be published. Required fields are marked *

To create code blocks or other preformatted text, indent by four spaces:

    This will be displayed in a monospaced font. The first four 
    spaces will be stripped off, but all other whitespace
    will be preserved.
    Markdown is turned off in code blocks:
     [This is not a link](http://example.com)

To create not a block, but an inline code span, use backticks:

Here is some inline `code`.

For more help see http://daringfireball.net/projects/markdown/syntax