Collective intelligence in action / by Satnam Alag. Bookmark: au/version/; Physical Description. xxv, p.: ill. ; 24 cm. Published. 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. As Satnam Alag writes in this book, collective intelligence as a research field actually pre- dates the web. But it was after the dot-com era had.

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The author of the code takes care not only about the correctness but also about the efficiency and the scalability. Aug 06, Phoenix rated it really liked it Shelves: Extracting intelligence from user tagging: In the Web 2. Finally a note to SF fans, this may be the point at which the Web starts to appear to be intelligent.

Yes, this kind of functionality is very easy to implement into your application after reading Satnam’s “Collective Intelligence in Action” Have you ever wonder how Netflix is able to recommend movies, what are the latest trends in the making search more intelligent or how you can intelligently satnnam new content and present it to your application?

Building an intelligent crawler step by step. Similarity between documents is measured by taking the dot product of the two vectors.

Alan rated it liked it Jan 03, There’s a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? 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.

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Write a review and the words you write become part of your cumulative profile as well, reduced to a vector or vectors of keywords and frequencies. The formally trained software engineer can treat this book as a great introductory survey level course on the subject that does attempt to peal back some of the layers of complexity. Building a recommendation engine Extracting intelligence from content 4. Morton, and Andrew L.

User Review – Flag as inappropriate Collective intelligence is very popular these days. Open Preview See a Problem?

I particularly like the approach to explain the mathematical concepts with simple examples, followed by implementing it in simple Java and then leveraging open-source software. The fact that Satnam presents a lot of stable and useful open source software is worth of actioh. A new category of powerful programming techni There’s a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once?

Author, Satnam Alag, has organized his work in a perfect way.

Collective Intelligence in Action

Classification and regression using JDM. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Searching the blogosphere 5. No eBook available Amazon. Looking for beautiful books?

Chet rated it liked it Nov 17, Read, highlight, and take notes, across web, tablet, and phone. It is the first Java-based book to emphasize the satnnam algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and axtion predictions.

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Collective intelligence in action / Satnam Alag. – Version details – Trove

Build a Collective Intelligence toolkit. If you like books and love to build cool products, we may be looking for you. Dissimilar docs would have a low coefficient, say. Popular features such as tag clouds and recommendation engines are defined.

Check out the top books of the year on our page Best Books of He is a seasoned software professional with over fifteen years of experience acttion machine learning and over a decade of experience nitelligence commercial software development and management.

Use cases for applying the framework. Basics of algorithms for applying CI. Use these CI techniques to extract valuable data from your applications. What’s really neat is how this information gets collected and can be applied. 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.

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