Programming Collective Intelligence: Building Smart Web 2.0, Applications

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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