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 Forensic Management of Sexual Offenders by
Cover of the book Historical Archaeology in Wachovia by
Cover of the book Anodic Protection by
Cover of the book Neural Engineering by
Cover of the book Mathematical Modeling in Economics, Ecology and the Environment by
Cover of the book Male Reproductive Function by
Cover of the book Electrostatic and Stereoelectronic Effects in Carbohydrate Chemistry by
Cover of the book A Textbook of Robotics 1 by
Cover of the book The Saudi Arabian Economy by
Cover of the book The Bethesda System for Reporting Thyroid Cytopathology by
Cover of the book Cytotoxic Anticancer Drugs: Models and Concepts for Drug Discovery and Development by
Cover of the book Manufacturing of Gene Therapeutics by
Cover of the book Functional Analytic Psychotherapy by
Cover of the book Wave Propagation and Radiation in Gyrotropic and Anisotropic Media by
Cover of the book Integrating Information Technology into Education 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