Collective Intelligence (Paperback)
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Short Description for Collective Intelligence Giving insight to market dominance, this handbook explores programming techniques that reveal the patterns, inter-relationships, and individual profiles--the collective intelligence--locked in the data people leave behind as they surf Web sites, post blogs, and interact with other users.
- Published: 01 October 2008
- Format: Paperback 397 pages
- ISBN 13: 9781933988313 ISBN 10: 1933988312
- Sales rank: 548,100
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Full description for Collective Intelligence
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.