Recommender Systems: Advanced Developments

Jie Lu, Qian Zhang, Guang-quan Zhang (Autoren)

Buch | Hardcover

352 Seiten

2020
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-12-2462-1 (ISBN)

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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.

Erscheinungsdatum	04.09.2020
Reihe/Serie	Intelligent Information Systems ; 6
Verlagsort	Singapore
Sprache	englisch
Themenwelt	Informatik ► Theorie / Studium ► Algorithmen
ISBN-10	981-12-2462-5 / 9811224625
ISBN-13	978-981-12-2462-1 / 9789811224621
Zustand	Neuware