Collective Intelligence

Collective Intelligence


By (author) Satnam Alag, Foreword by Richard MacManus

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  • Publisher: Manning Publications
  • Format: Paperback | 397 pages
  • Dimensions: 213mm x 277mm x 10mm | 499g
  • Publication date: 1 October 2008
  • Publication City/Country: New York
  • ISBN 10: 1933988312
  • ISBN 13: 9781933988313
  • Sales rank: 549,701

Product description

HIGHLIGHT Collective Intelligence in Action is a hands-on guide for Java developers implementing Collective Intelligence in real, high-use web applications. DESCRIPTION Collective Intelligence in Action is a hands-on guidebook for Java developers implementing collective intelligence concepts. This book teaches vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions using Java-based examples. Readers learn to collect, analyze, and benefit from the massive quantities of user information generated by Web 2.0 applications. Following a running example, readers harvest and use information from blogs, tags, and other sources. They then learn to develop software that can embed in their own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit. Because a smart developer knows there's no reason to reinvent the wheel, the book uses public APIs and open-source toolkits including search using Lucene, web-crawling using Nutch, machine learning using WEKA, and the Java Data Mining (JDM) standard. Readers also learn from case studies that include Amazon, Google News, and Netflix KEY SELLING POINTS * Implement Collective Intelligence in real, high-use Java applications. * Add high-value features to your websites, like recommendations and user networking. * Build a Collective Intelligence toolkit. * Get immediately reusable code. * Learn to use with standard tools and APIs like Lucene, Nutch, WEKA, and JDM.

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Author information

Satnam Alag, PhD, is currently the Vice President of Engineering at NextBio, a vertical search engine and a Web 2.0 collaboration application for the life sciences community. He is a seasoned software professional with over fifteen years of experience in machine learning and over a decade of experience in commercial software development and management. Dr. Alag worked as a consultant with Johnson & Johnsons's BabyCenter where he helped develop their personalization engine. Prior to that, he was the Chief Software Architect at Rearden Commerce and began his career at GE R&D. He is a Sun Certified Enterprise Architect (SCEA) for the Java Platform. Dr. Alag earned his PhD in engineering from UC Berkeley and his dissertation was in the area of probabilistic reasoning and machine learning. He has published numerous peer-reviewed articles.