Google's PageRank and Beyond
eBook - ePub

Google's PageRank and Beyond

The Science of Search Engine Rankings

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Google's PageRank and Beyond

The Science of Search Engine Rankings

Book details
Table of contents
Citations

About This Book

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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Yes, you can access Google's PageRank and Beyond by Amy N. Langville,Carl D. Meyer in PDF and/or ePUB format, as well as other popular books in Matematica & Matematica generale. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Princeton University Press
Year
2011
ISBN
9781400830329
Topic
Matematica
Subtopic
Matematica generale

Table of contents

  1. Cover
  2. Half title
  3. Title
  4. Contents
  5. Preface
  6. Chapter 1. Introduction to Web Search Engines
  7. Chapter 2. Crawling, Indexing, and Query Processing
  8. Chapter 3. Ranking Webpages by Popularity
  9. Chapter 4. The Mathematics of Google’s PageRank
  10. Chapter 5. Parameters in the PageRank Model
  11. Chapter 6. The Sensitivity of PageRank
  12. Chapter 7. The PageRank Problem as a Linear System
  13. Chapter 8. Issues in Large-Scale Implementation of PageRank
  14. Chapter 9. Accelerating the Computation of PageRank
  15. Chapter 10. Updating the PageRank Vector
  16. Chapter 11. The HITS Method for Ranking Webpages
  17. Chapter 12. Other Link Methods for Ranking Webpages
  18. Chapter 13. The Future of Web Information Retrieval
  19. Chapter 14. Resources for Web Information Retrieval
  20. Chapter 15. The Mathematics Guide
  21. Chapter 16. Glossary
  22. Bibliography
  23. Index