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Recommender Systems Handbook

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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.weiterlesen

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-1-4899-7637-6 / 978-1489976376 / 9781489976376

Verlag: Springer US

Erscheinungsdatum: 17.11.2015

Seiten: 1003

Auflage: 2

Herausgegeben von Francesco Ricci, Lior Rokach, Bracha Shapira

341,33 € inkl. MwSt.
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