Téléchargez le livre : Recommender Systems Handbook
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Description
This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems’ major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.
Pages
1003 pages
Collection
n.c
Parution
2015-11-17
Marque
Springer
EAN papier
9781489976369
EAN PDF
9781489976376
Informations sur l'ebook
Nombre pages copiables
10
Nombre pages imprimables
100
Taille du fichier
13957 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
336,54 €
EAN EPUB
9781489976376
Informations sur l'ebook
Nombre pages copiables
10
Nombre pages imprimables
100
Taille du fichier
6728 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
336,54 €

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