Satnam Alag Collective Intelligence in Action

ISBN 13 : 9781933988313

Collective Intelligence in Action

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9781933988313: Collective Intelligence in Action

There's a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet users can be like listening to a mob.

In the Web 2.0 era, leveraging the collective power of user contributions, interactions, and feedback is the key to market dominance. A new category of powerful programming techniques lets you discover the patterns, inter-relationships, and individual profiles-the collective intelligence--locked in the data people leave behind as they surf websites, post blogs, and interact with other users.

Collective Intelligence in Action is a hands-on guidebook for implementing collective intelligence concepts using Java. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches.

This book is for Java developers implementing Collective Intelligence in real, high-use applications. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications. The code examples are immediately reusable and give the Java developer a working collective intelligence toolkit.

Along the way, you work with, a number of APIs and open-source toolkits including text analysis and search using Lucene, web-crawling using Nutch, and applying machine learning algorithms using WEKA and the Java Data Mining (JDM) standard.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

About the Author :

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Description du livre Manning Publications, United States, 2008. Paperback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AAS9781933988313

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Satnam Alag
Edité par Manning Publications, United States (2008)
ISBN 10 : 1933988312 ISBN 13 : 9781933988313
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Description du livre Manning Publications, United States, 2008. Paperback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AAS9781933988313

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