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Algorithms of the Intelligent Webby Haralambos Marmanis
Synopses & Reviews
Web 2.0 applications provide a rich user experience, but the parts you can't see are just as important-and impressive. They use powerful techniques to process information intelligently and offer features based on patterns and relationships in data. Algorithms of the Intelligent Web shows readers how to use the same techniques employed by household names like Google Ad Sense, Netflix, and Amazon to transform raw data into actionable information.
Algorithms of the Intelligent Web is an example-driven blueprint for creating applications that collect, analyze, and act on the massive quantities of data users leave 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-networking sites. See how click-trace analysis can result in smarter ad rotations. All the examples 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 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.
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.
Book News Annotation:
This volume describes the fundamentals how to build algorithms for the intelligent processing of information for web applications, covering search, recommendation, groupings, classifications, and the combination of classifiers. The text makes extensive use of the BeanShell scripting library for the dual purpose of presenting the algorithms at level that's easier to grasp and delineating the steps needed to incorporate algorithms into applications. Distributed in the US and Canada by O'Reilly. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)
"Algorithms of the Intelligent Web" is an example-driven blueprint for creating applications that collect, analyze, and act on the massive quantities of data users leave 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-networking sites.
As mobile device usage continues to expand at a rapid pace, applications that effectively utilize a users location become increasingly valuable to businesses operating in the mobile world.
Building Location-Aware Applications aims to provide readers with a thorough background to the new era of location-aware applications that are set to change the mobile landscape and shape the very core of mobile services for this decade. It is designed to specifically address the growing segment of developer-entrepreneurs who wish to gain insights into specific aspects of establishing a viable LBS business.
When computers harness prior experience to improve future performance, a type of artificial intelligence called machine learning has been applied. The Apache Mahout project is focused on three types of machine learning that are of particular interest to modern web developers "recommendation systems, classification, and clustering.
Through real-world examples, Mahout in Action introduces the sorts of problems that these techniques are appropriate for, and then illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability, and how to apply these techniques at very large scale with the Apache Hadoop framework.
About the Author
Regina is a member of the PostGIS core development team and the Project Steering Committee. Her company, Paragon Corporation, was founded in 1997, together with her husband Leo Hsu, and has provided database and GIS solutions for a broad range of clients. They also host two sites: BostonGIS.com and PostgresOnline.com.
Leo is a member of the PostGIS core development team and the Project Steering Committee. His company, Paragon Corporation, was founded in 1997, together with his wife Regina Obe, and has provided database and GIS solutions for a broad range of clients. They also host two sites: BostonGIS.com and PostgresOnline.com.
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Computers and Internet » Internet » Programming