Web 2.0 applications provide a rich user experience, but the parts you can't seeare just as important-and impressive. They use powerful techniques to processinformation intelligently and offer features based on patterns and relationshipsin data. Algorithms of the Intelligent Web shows readers how to use the sametechniques employed by household names like Google Ad Sense, Netflix, andAmazon to transform raw data into actionable information.

Algorithms of the Intelligent Web is an example-driven blueprint for creatingapplications that collect, analyze, and act on the massive quantities of data usersleave in their wake as they use the web. Readers learn to build Netflix-style recommendation engines, and how to apply the same techniques to social-networkingsites. See how click-trace analysis can result in smarter ad rotations. All theexamples are designed both to be reused and to illustrate a general technique-an algorithm-that applies to a broad range of scenarios.

As they work through the book's many examples, readers learn about recommendation systems, search and ranking, automatic grouping of similar objects,classification of objects, forecasting models, and autonomous agents. They alsobecome familiar with a large number of open-source libraries and SDKs, andfreely available APIs from the hottest sites on the internet, such as Facebook,Google, eBay, and Yahoo.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.

L'autore

Dr. Haralambos Marmanis

holds a Ph.D. in applied mathematics from Brown

University, an M.S. degree in theoretical and applied mechanics from the

University of Illinois at Urbana-Champaign, and B.S. and M.S. degrees in civil

engineering from the Aristotle University of Thessaloniki in Greece. He was the

recipient of the Sigma Xi award for innovative research in 2000, and he is the

author of numerous publications in peer-reviewed international scientific journals,

conferences, and technical periodicals.

Dmitry Babenko is the lead for the data warehouse infrastructure at Emptoris,

Inc. He is a software engineer and architect with 13 years of experience in the IT

industry. He has designed and built a wide variety of applications and infrastructure

frameworks for banking, insurance, supply-chain management, and business

intelligence companies. He received a M.S. degree in computer science from

Belarussian State University of Informatics and Radioelectronics.

MANNING

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