Recommender Systems Handbook

Nonfiction, Computers, Database Management, Information Storage & Retrievel, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Recommender Systems Handbook by , Springer US
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781489976376
Publisher: Springer US Publication: November 17, 2015
Imprint: Springer Language: English
Author:
ISBN: 9781489976376
Publisher: Springer US
Publication: November 17, 2015
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer US

Cover of the book Cell Therapy by
Cover of the book Heart Function in Health and Disease by
Cover of the book Rural Society in the Age of Reason by
Cover of the book Practical Aspects of Computational Chemistry IV by
Cover of the book Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development by
Cover of the book Clinical Evaluation of Antitumor Therapy by
Cover of the book Open Source Software for Digital Forensics by
Cover of the book Open Networked "i-Learning" by
Cover of the book Science and the Modern World by
Cover of the book Pediatric Dialysis by
Cover of the book The Auditory Cortex by
Cover of the book International Economic Institutions by
Cover of the book Prevention and Treatment of Contraceptive Failure by
Cover of the book Health Psychology by
Cover of the book An Analytical Approach to Optical Burst Switched Networks by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy