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Recommender Systems Handbook

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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.

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Availability

No copy data

Detail Information

Series Title

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Call Number

006.3

Publisher

New York : Springer New York., 2015

Collation

-

Language

English

ISBN/ISSN

978-1-4899-7637-6

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Artificial Intelligence
Information Storage and Retrieval

Specific Detail Info

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Statement of Responsibility

Francesco Ricci

Other Information

Cataloger

Firli

Source

https://link.springer.com/book/10.1007/978-1-4899-7637-6

Validator

Taufik

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