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Recommender Systems: The Textbook
Charu C. Aggarwal
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| #295759 in Books | 2016-03-29 | Original language:English | PDF # 1 | 10.00 x1.13 x7.00l,.0 | File type: PDF | 498 pages||6 of 6 people found the following review helpful.| The Best Book on Recommender Systems|By Customer|For a technical book, the writing is surprisingly clear and the content is well-organized. This book has given me enough insight to build two sophisticated recommendation engines from scratch. I like that it does not get into specific languages and frameworks. It goes deep into the essential algorithms and mathematics that power||“Charu Aggarwal, a well-known, reputable IBM researcher, has taken the time to distill the advances in the design of recommender systems since the advent of the web … . Extensive bibliographic notes at the end of each chapter and more than 700 ref
This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. ...
You easily download any file type for your device.Recommender Systems: The Textbook | Charu C. Aggarwal. I really enjoyed this book and have already told so many people about it!
