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Collective Intelligence in Action | 
 enlarge | Author: Satnam Alag
Publisher: Manning Publications
Category: Book
List Price: $44.99
Buy New: $25.09
You Save: $19.90 (44%)
New (32) Used (2) from $25.09
Rating:  4 reviews
Sales Rank: 22208
Format: Illustrated
Media: Paperback
Edition: Pap/Onl
Pages: 425
Number Of Items: 1
Shipping Weight (lbs): 1.5
Dimensions (in): 9.2 x 7.3 x 1
ISBN: 1933988312
Dewey Decimal Number: 004
EAN: 9781933988313
ASIN: 1933988312
Publication Date: October 28, 2008
Availability: Usually ships in 1-2 business days
Condition: All orders ship same business day via standard shipping (USPS Media Mail) if received by 1 PM CST.
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Product Description
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.
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| Customer Reviews:
A must for all Web engineers November 25, 2008
Daniel Lemire (Montreal, Canada)
2 out of 2 found this review helpful
I was recently asked by the publisher to review Collective Intelligence in Action. The author is Satnam Alag, a Bay area engineer with a Ph.D. from the University of California, Berkeley. Dr. Alag is VP of NextBio, a specialized search engine.
The first chapter is free and so is the source code used in the book.
The book is for Java developers who want to implement "Collective Intelligence" applications in Java. It tells us about extracting and applying data from blogs, wikis and social network applications. I am not one to praise, but this book succeeds brilliantly. If you are a Java engineer and work with Web technologies, you must get this book. It covers topics such as computing similarity measures using vector models, Naive Bayes Classifiers, inverse document frequency (idf), Machine Learning (using the Weka API), building a crawler with regular expressions, collaborative filtering (with links to open source tools), and so on.
Even if you do not work with Java, if you care for high-end Web applications, this book is for you. It reminds me of Lyon's Java Digital Signal Processing book. It offers the gist of what academia knows, but focuses on what people (engineers and researchers) do in practise.
The book is not meant for academia however. There are references, but no theorem.
Disclaimer. I did not get paid to review this book, and I do not stand to gain anything if you buy the book. I have no relationship with the publisher or the author.
Further reading. A competing book is Programming Collective Intelligence: Building Smart Web 2.0 Applications by Toby Segaran. It uses Python instead of Java.
Adding Smartness made easy in your Enterprise Application by "Collective Intelligence in Action" November 12, 2008
Sopan M. Shewale (Pune, India)
4 out of 4 found this review helpful
I was not surprised to see "Hello, Sopan. We have recommendations for you" line at the top
when I logged into the Amazon.com site. 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 gather new content and
present it to your application?
In this book, Santnam does an excellent job providing the answers to all these questions
The book covers the wide breadth of the topics with amazing focus and detail-architecture
for adding intelligence, tagging and tag clouds, content aggregation through focused web
crawling and from the blogospare, leveraging machine learning techniques such as clustering
and predictive modeling, intelligent search and building recommendation engine.
I particularly liked the approach to explain the mathematical concepts with simple examples,
followed by implementing it in simple Java and then leveraging open-source software.
This book can be very useful if you are interested in integrating different Open Source Softwares
to deliver Enterprise Class Application.
I also liked the authors style of providing summary at the end of each chapter.
He also provides huge set of very useful resources for reading further on the topics
covered into the chapters.
You must pickup this book if you are
[1]. serious (developer/manager/architect type of Eng) on adding search or
intelligent/smartness into your Application
[2]. person involved in developing (programmer, tester, manager) Social
Networking Application.
[3]. involved in managing "Knowledge Management Infrastructure" of any size organization
This Book will provide you a great foundation for developing Enterprise Class
Features.
I highly recommend it.
 A well thought out book with examples to match November 11, 2008
Paul Browne (Ireland)
1 out of 1 found this review helpful
I wish I had this book 2 years earlier while I was writing my Master's Dissertation; It gives not only the theory of the techniques behind data mining, word analysis/ search,tag clouds,clustering and recommendation engines, but gives good examples based on the best open source frameworks.
The author also added sections on JBoss Rules / Drools CEP (Complex Event Processing) in repsonse to reviewer feedback.
Disclaimer: I was given a review copy by the publisher, but without any preconditions (i.e. I am free to criticise)
A great book! November 9, 2008
Kevin Xiao
6 out of 7 found this review helpful
This is a great book! It is a hands-on guidebook for implementing collective intelligence concepts. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of scalable data mining techniques, such as, trend analyzing, relationship discovering, and predictive modeling. It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches.
The concepts and code examples in the book have been practically used in a life science search engine named NextBio, which proves to be a great success. I strongly recommend this book.
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