HIGHLIGHTLearn the techniques used by Google, Netflix, and Amazon to transform rawdata into actionable informationÂ including recommendations, predictions,and intelligent search.DESCRIPTIONWeb 2.0 applications provide a rich user experience, but the parts you can't seeare just as importantÂ 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 recommendationengines, 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 techniqueÂ an algorithmÂ that applies to a broad range of scenarios.As they work through the bookÂ s many examples, readers learn about recommendationsystems, 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.KEY POINTSÂ Create recommendations like those on Netflix and AmazonÂ Implement GoogleÂ s Pagerank and the HITS algorithmÂ Discover matches on social-networking sitesÂ Business techniques like sorting email based on content, targetedadvertising, and fraud detectionMARKET INFORMATIONThe fields of Collective Intelligence and Web 2.0 are driving much of the interestin new web development techniques. This book is front-and-center in thishot area.
Dr. Haralambos Marmanis holds a Ph.D. in applied mathematics from BrownUniversity, an M.S. degree in theoretical and applied mechanics from theUniversity of Illinois at Urbana-Champaign, and B.S. and M.S. degrees in civilengineering from the Aristotle University of Thessaloniki in Greece. He was therecipient of the Sigma Xi award for innovative research in 2000, and he is theauthor 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 ITindustry. He has designed and built a wide variety of applications and infrastructureframeworks for banking, insurance, supply-chain management, and businessintelligence companies. He received a M.S. degree in computer science fromBelarussian State University of Informatics and Radioelectronics.MANNING