9780691122021-0691122024-Google's PageRank and Beyond: The Science of Search Engine Rankings

Google's PageRank and Beyond: The Science of Search Engine Rankings

ISBN-13: 9780691122021
ISBN-10: 0691122024
Author: Amy N. Langville, Carl D. Meyer
Publication date: 2006
Publisher: Princeton University Press
Format: Hardcover 240 pages
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Book details

ISBN-13: 9780691122021
ISBN-10: 0691122024
Author: Amy N. Langville, Carl D. Meyer
Publication date: 2006
Publisher: Princeton University Press
Format: Hardcover 240 pages

Summary

Google's PageRank and Beyond: The Science of Search Engine Rankings (ISBN-13: 9780691122021 and ISBN-10: 0691122024), written by authors Amy N. Langville, Carl D. Meyer, was published by Princeton University Press in 2006. With an overall rating of 3.5 stars, it's a notable title among other books. You can easily purchase or rent Google's PageRank and Beyond: The Science of Search Engine Rankings (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.36.

Description

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

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