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Collective Intelligence in Action

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ISBN-10: 1933988312

ISBN-13: 9781933988313

Edition: 2008

Authors: Satnam Alag

List price: $44.99
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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…    
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Book details

List price: $44.99
Copyright year: 2008
Publisher: Manning Publications Company
Publication date: 11/7/2008
Binding: Paperback
Pages: 425
Size: 7.50" wide x 8.25" long x 1.00" tall
Weight: 1.562
Language: English

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…    

Understanding collective intelligence
Learning from user interactions
Extracting intelligence from tags
Extracting intelligence from content
Searching the blogosphere
Intelligent web crawling
Data mining : process, toolkits, and standards
Building a text analysis toolkit
Discovering patterns with clustering
Making predictions
Intelligent search
Building a recommendation engine