Google s PageRank and Beyond The Science of Search Engine Rankings Amy N. Langville 1st Edition by Amy Langville, Carl Meyer ISBN 9780691122021 978-0691122021

Google s PageRank and Beyond The Science of Search Engine Rankings Amy N. Langville 1st Edition by Amy N. Langville, Carl D. Meyer – Ebook PDF Instant Download/Delivery: 9780691122021, 978-0691122021
Full download Google s PageRank and Beyond The Science of Search Engine Rankings Amy N. Langville 1st Edition  after payment

Product details: 

ISBN 10: 9780691122021 

ISBN 13: 978-0691122021

Author: Amy N. Langville, Carl D. Meyer

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

Table of contents: 

Chapter 1 Introduction to Web Search Engines
Chapter 2 Crawling Indexing and Query Processing
Chapter 3 Ranking Webpages by Popularity
Chapter 4 The Mathematics of Googles PageRank
Chapter 5 Parameters in the PageRank Model
Chapter 6 The Sensitivity of PageRank
Chapter 7 The PageRank Problem as a Linear System
Chapter 8 Issues in LargeScale Implementation of PageRank

Chapter 9 Accelerating the Computation of PageRank
Chapter 10 Updating the PageRank Vector
Chapter 11 The HITS Method for Ranking Webpages
Chapter 12 Other Link Methods for Ranking Webpages
Chapter 13 The Future of Web Information Retrieval
Chapter 14 Resources for Web Information Retrieval
Chapter 15 The Mathematics Guide
Chapter 16 Glossary

People also search for:

google’s pagerank and beyond the science of search engine rankings

google search paper

google search engine paper

google’s pagerank and beyond

google s pagerank and beyond the science of search engine

Tags:

Amy Langville,Carl Meyer,Google s PageRank,The Science of Search, Amy N. Langville