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

前表紙
Princeton University Press, 2006/07/23 - 224 ページ

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

 

目次

CONTENTS
1
Crawling Indexing and Query Processing
15
Ranking Webpages by Popularity
25
The Mathematics of Googles PageRank
31
Parameters in the PageRank Model
47
The Sensitivity of PageRank
57
The PageRank Problem as a Linear System
71
Accelerating the Computation of PageRank
89
Updating the PageRank Vector
99
The HITS Method for Ranking Webpages
115
Other Link Methods for Ranking Webpages
131
The Future of Web Information Retrieval
139
Resources for Web Information Retrieval
149
Glossary
201
Bibliography
207
Index
219

他の版 - すべて表示

Google's PageRank and Beyond: The Science of Search Engine Rankings
Amy N. Langville,Carl D. Meyer
限定表示 - 2011
Google's PageRank and Beyond: The Science of Search Engine Rankings
Amy N. Langville,Carl D. Meyer
プレビュー不可 - 2009
Google's PageRank and Beyond: The Science of Search Engine Rankings
Amy N. Langville,Carl D. Meyer
プレビュー不可 - 2006

多く使われている語句

adjacency matrix anchor text authority and hub authority vector blogs Boolean Brin Chapter component compute content score crawler crawling create dangling node document collections eigenvalue eigenvector equation example Figure Google bomb Google matrix Google’s HITS algorithm hub scores hyperlink hyperlink matrix hyperlink structure information retrieval inlinks inverted file irreducible link analysis link farms m-file Markov chain mathematical Matlab matrix H nonnegative nonsingular nonzero outlinks PageRank model PageRank power method PageRank problem PageRank scores PageRank values PageRank vector parameter Perron vector popularity score power method applied primitive query module query-independent random surfer relevant pages researchers row vector S₁ SALSA scalar search engine optimization sensitivity spammers sparse sparse matrix spiders starting vector stationary distribution stationary vector stochastic matrix storage techniques teleportation Teoma theorem traditional information retrieval transition probability matrix updated vector space model web graph Web’s World Wide π¹

書誌情報

書籍名Google's PageRank and Beyond: The Science of Search Engine Rankings
著者Amy N. Langville, Carl D. Meyer
版イラスト付き
出版社Princeton University Press, 2006
ISBN0691122024, 9780691122021
ページ数224 ページ
  
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