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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 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...

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Bibliographic Details
Main Author: Segaran, Toby
Format: eBook
Language:English
Published: Sebastapol, Calif. O'Reilly 2007
Subjects:
Programming Languages (electronic Computers) / Fast
Information Storage And Retrieval Systems / Fast
Data Mining / Fast
Data Mining
Information Systems
World Wide Web 2.0 / Gnd / Http://d-nb.info/gnd/7548364-6
Programming Languages (electronic Computers) / Http://id.loc.gov/authorities/subjects/sh85107313
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
World Wide Web 2.0 / Swd
Information Storage And Retrieval Systems / Http://id.loc.gov/authorities/subjects/sh85066163
Intelligence Artificielle
Information Technology / Social Aspects / Programming / Blmlsh
Data Mining / Http://id.loc.gov/authorities/subjects/sh97002073
Systèmes D'information
Internet Programming / Fast
Internet
Internet Programming / Blmlsh
Information Storage And Retrieval / Methods
Programming Languages
Artificial Intelligence / Fast
Artificial Intelligence
Programmation Internet
Internet Programming / Http://id.loc.gov/authorities/subjects/sh96009904
Technologie De L'information / Aspect Social / Programmation
Artificial Intelligence / Aat
Information Technology / Social Aspects / Programming
Exploration De Données (informatique)
Langages De Programmation
Computers / Information Technology / Bisacsh
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Table of Contents:
  • 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

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