具体描述
"The first chapter is free (http://www.manning-source.com/books/alag/alag_meapch1.pdf) and so is the source code used in the book (http://www.manning-source.com/books/alag/CIiA-src.zip).
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. People who read this blog know that 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, Naïve 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 practice.
The book is not meant for academia however. There are references, but no theorem."
-- by Daniel Lemire http://feeds.feedburner.com/~r/daniel-lemire/atom/~3/304207263/
用户评价
##JAVA写的，适合刚刚入门的新同学！常用算法都会讲到，然后还讲了一些开源工具包的使用方法！
评分##惊喜出现，图书馆又发现一本好书...有空一定要把书中的代码实现一下。
评分##科普入门书,还算不错吧
评分##这本书 废话过多. 代码是不少， 好多Lucene分词的概念 作者死要解释 并实现...难道作者不知道lucene分词吗?
评分 评分 评分RECS推荐
评分 评分##JAVA写的，适合刚刚入门的新同学！常用算法都会讲到，然后还讲了一些开源工具包的使用方法！
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