Why doesn't your home page appear on the first page of search
results, even when you query your own name? How do other web pages
always appear at the top? What creates these powerful rankings? And
how? The first book ever about the science of web page rankings,
"Google's PageRank and Beyond" supplies the answers to these and
other questions and more.
The book serves two very different audiences: the curious
science reader and the technical computational reader. The chapters
build in mathematical sophistication, so that the first five are
accessible to the general academic reader. While other chapters are
much more mathematical in nature, each one contains something for
both audiences. For example, the authors include entertaining
asides such as how search engines make money and how the Great
Firewall of China influences research.
The book includes an extensive background chapter designed to
help readers learn more about the mathematics of search engines,
and it contains several MATLAB codes and links to sample web data
sets. The philosophy throughout is to encourage readers to
experiment with the ideas and algorithms in the text.
Any business seriously interested in improving its rankings in
the major search engines can benefit from the clear examples,
sample code, and list of resources provided. Many illustrative
examples and entertaining asides MATLAB code Accessible and
informal style Complete and self-contained section for mathematics
review
General
Imprint: |
Princeton University Press
|
Country of origin: |
United States |
Release date: |
February 2012 |
First published: |
February 2012 |
Authors: |
Amy N. Langville
• Carl D. Meyer
|
Dimensions: |
254 x 178 x 14mm (L x W x T) |
Format: |
Paperback - Trade
|
Pages: |
240 |
ISBN-13: |
978-0-691-15266-0 |
Categories: |
Books >
Computing & IT >
Internet >
General
|
LSN: |
0-691-15266-7 |
Barcode: |
9780691152660 |
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