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
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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