Manning Publications, 2009. — 368 p. — ISBN10: 1933988665, ISBN13: 978-1933988665.
The book covers five important categories of algorithms: search, recommendations, groupings, classification, and the combination of classifiers.
What's insideHow to create recommendations just like those on Netflix and Amazon.
How to implement Google's Pagerank algorithm.
How to discover matches on social-networking sites.
How to organize the discussions on your favorite news group.
How to select topics of interest from shared bookmarks.
How to leverage user clicks.
How to categorize emails based on their content.
How to build applications that do targeted advertising.
How to implement fraud detection.
As you work through the book's many examples, you'll learn about recommendation systems, search and ranking, automatic grouping of similar objects, classification of objects, forecasting models, and autonomous agents. You'll also become familiar with a large number of open-source libraries and SDKs, and freely available APIs from the hottest sites on the internet, such as Facebook, Google, eBay, and Yahoo.
What is the intelligent web?
Searching.
Creating suggestions and recommendations.
Clustering: grouping things together.
Classification: placing things where they belong.
Combining classifiers.
Putting it all together: an intelligent news portal.
Introduction to BeanShell.
Web crawling.
Mathematical refresher.
Natural language processing.
Neural networks.