"Comprehensive and engagingly written. This book should become an important resource for many audiences: applied mathematicians, search industry professionals, and anyone who wants to learn more about how search engines work."--Jon Kleinberg, Cornell University
"I don't think there are any competitive books in print with the same depth and breadth on the topic of search engine ranking. The content is well-organized and well-written."--Michael Berry, University of Tennessee--This text refers to an out of print or unavailable edition of this title.
This book is for very serious mathematicians only. It is highly technical in nature, filled with complex formulas. Difficult to move throughPublished 10 months ago by John K. Mauney Jr
i am working on page summarisation and i actually needed a mathematical graph method to apply and this book worked.
I like the aside. Read more
yet the 'short summaries' that (sp)Amazon brings up when listing this book as a recommendation or offering to let you review it lists the *male* SECOND author as the SOLE author. Read morePublished on May 17, 2011 by Cheryl Fillekes
The book is good at explaining the Google's pageRanking, and it try to present rigorious math proof to demonstrate the idea. Read morePublished on February 16, 2009 by Xin Chen
Great book. It's nice to have all the recent work done in trust metrics all in one place.Published on May 6, 2008 by Kevin A. Burton
The book strikes a good balance between the novice and the highly experienced math junkiePublished on February 23, 2008 by M. Grant
You need a degree in math to comprehend this book - if that is what you are looking for great. If not this book is not for web professionals like myself.Published on October 29, 2007 by Denise Magic
This book is a good review of the mathematics behind PageRank and other algorithms, such as HITS. It can be used as an auxilliary text in bth graduate and undergraduate... Read morePublished on May 7, 2007 by Geraldo XEXEO
I've read Langville's papers as part of my study on link-based ranking techniques. However, the book is only intended to be a very gentle introduction for people with good maths... Read morePublished on March 25, 2007 by Truyen Tran