Programming Collective Intelligence: Building Smart Web 2.0 Applications [NOOK Book]

Overview

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and ...

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Programming Collective Intelligence: Building Smart Web 2.0 Applications

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Overview

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it.

Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:

  • Collaborative filtering techniques that enable online retailers to recommend products or media
  • Methods of clustering to detect groups of similar items in a large dataset
  • Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm
  • Optimization algorithms that search millions of possible solutions to a problem and choose the best one
  • Bayesian filtering, used in spam filters for classifying documents based on word types and other features
  • Using decision trees not only to make predictions, but to model the way decisions are made
  • Predicting numerical values rather than classifications to build price models
  • Support vector machines to match people in online dating sites
  • Non-negative matrix factorization to find the independent features in a dataset
  • Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game
Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you.

"Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details."
-- Dan Russell, Google

"Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths."
-- Tim Wolters, CTO, Collective Intellect
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Product Details

  • ISBN-13: 9780596550684
  • Publisher: O'Reilly Media, Incorporated
  • Publication date: 8/16/2007
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 1
  • Pages: 362
  • Sales rank: 730,166
  • File size: 3 MB

Meet the Author

Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.

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Table of Contents

Praise for Programming Collective Intelligence


Preface


Chapter 1: Introduction to Collective Intelligence


Chapter 2: Making Recommendations


Chapter 3: Discovering Groups


Chapter 4: Searching and Ranking


Chapter 5: Optimization


Chapter 6: Document Filtering


Chapter 7: Modeling with Decision Trees


Chapter 8: Building Price Models


Chapter 9: Advanced Classification: Kernel Methods and SVMs


Chapter 10: Finding Independent Features


Chapter 11: EVOLVING INTELLIGENCE


Chapter 12: Algorithm Summary


Third-Party Libraries


Mathematical Formulas


Colophon

Toby Segaran is the author of Programming Collective Intelligence, a very popular O'Reilly title. He was the founder of Incellico, a biotech software company later acquired by Genstruct. He currently holds the title of Data Magnate at Metaweb Technologies and is a frequent speaker at technology conferences.

Read More Show Less

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Sort by: Showing all of 4 Customer Reviews
  • Anonymous

    Posted September 5, 2008

    Must read!

    This book is one of the best technology books I have EVER read. It covers many topics with both depth and unity, yet simplicity and structure. It is well written and fun, and certainly useful. This book is a must read for anyone interested even vaguely in collective intelligence.

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  • Anonymous

    Posted January 5, 2011

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  • Anonymous

    Posted April 19, 2010

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    Posted October 27, 2010

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