1. Introduction to collective intelligence -- 2. Making recommendations -- 3. Discovering groups -- 4. Searching and ranking -- 5. Optimization -- 6. Document filtering -- 7. Modeling with decision trees -- 8. Building price models -- 9. Advanced classification : kernel methods and SVMs -- 10. Finding independent features -- 11. Evolving intelligence -- 12. Algorithm summary -- App. A. Third-party libraries -- App. B. Mathematical formulas
Summary
"Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by participatory Internet applications. 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."--Jacket
