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Book synopsis

Recommender systems provide users (businesses or individuals) with personalized online recommendations of products or information, to address the problem of information overload and improve personalized services. Recent successful applications of recommender systems are providing solutions to transform online services for e-government, e-business, e-commerce, e-shopping, e-library, e-learning, e-tourism, and more.

This unique compendium not only describes theoretical research but also reports on new application developments, prototypes, and real-world case studies of recommender systems. The comprehensive volume provides readers with a timely snapshot of how new recommendation methods and algorithms can overcome challenging issues. Furthermore, the monograph systematically presents three dimensions of recommender systems — basic recommender system concepts, advanced recommender system methods, and real-world recommender system applications.

By providing state-of-the-art knowledge, this excellent reference text will immensely benefit researchers, managers, and professionals in business, government, and education to understand the concepts, methods, algorithms and application developments in recommender systems.

Book details

Book category Books in English Computing & information technology Computer programming / software development Algorithms & data structures

• Full title: Recommender Systems: Advanced Developments
• Author: Qian Zhang, Guangquan Zhang
• Language: English
• Binding: Hardback
• Number of pages: 352
• EAN: 9789811224621
• ISBN: 9811224625
• ID: 33060253
• Publisher: World Scientific Publishing Co Pte Ltd
• Weight: 677 g
• Dimensions: 235 × 157 × 24 mm
• Date of publishing: 20. August 2020

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