Programming Collective Intelligence: Building Smart Web 2.0 Applications
O'Reilly Media, 1St Edition Edition, (23.08.2007)Zusammenfassung
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
adataset
* 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
