Jie Lu & Qian Zhang 
RECOMMENDER SYSTEMS: ADVANCED DEVELOPMENTS [EPUB ebook] 
Advanced Developments

Soporte

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.

€114.99
Métodos de pago
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato EPUB ● Páginas 352 ● ISBN 9789811224645 ● Tamaño de archivo 11.5 MB ● Editorial World Scientific Publishing Company ● Ciudad Singapore ● País SG ● Publicado 2020 ● Descargable 24 meses ● Divisa EUR ● ID 7570976 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM

Más ebooks del mismo autor / Editor

73.240 Ebooks en esta categoría