Programming Collective Intelligence

Building Smart Web 2.0 Applications

Toby Segaran

360 pages, parution le 01/08/2007

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Résumé

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.

L'auteur - Toby Segaran

Toby Segaran est directeur du développement chez Genstruct, une entreprise spécialisée en bio-informatique pour laquelle il conçoit des algorithmes. Il collabore également à des projets Open Source, en proposant des analyses et recherches de valeurs dans les jeux de données collectées. Il est en outre connu pour certaines de ses applications web gratuites Tasktoy et Lazybase.

Sommaire

Introduction to Collective Intelligence
Making Recommendations
Discovering Groups
Searching and Ranking
Optimization
Document Filtering
Modeling with Decision Trees
Building Price Models
Advanced Classification: Kernel Methods and SVMs
Finding Independent Features
Evolving Intelligence
Algorithm Summary
Appendix: Third-Party Library
Appendix: Mathematical Formulas

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Caractéristiques techniques

	PAPIER
Éditeur(s)	O'Reilly
Auteur(s)	Toby Segaran
Parution	01/08/2007
Nb. de pages	360
Couverture	Broché
Intérieur	Noir et Blanc
EAN13	9780596529321
ISBN13	978-0-596-52932-1