Editors:
Includes major updates as well as 20 new chapters
Presents detailed case studies
Shares tips and insights from renowned experts in the field
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Table of contents (28 chapters)
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Front Matter
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Recommendation Techniques
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Front Matter
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Recommender Systems Evaluation
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Front Matter
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About this book
Keywords
- Collaborative filtering
- Collective intelligence
- Context-aware systems
- Data mining
- Data science
- Decision making
- Decision support systems
- Industrial systems
- Information retrieval
- Intelligent user interface
- Machine learning
- Mobile recommender systems
- Personalization
- Recommender systems
- Social networks
- Web media
Reviews
“If you have time for just one book to get yourself up to speed with the latest and best in recommender systems, this is the book you want. … this is an excellent educational resource on the main techniques employed for making recommendations … . is definitely a book to read to get updated on the state of the art of recommender systems, and also to get a feel of the breadth of the research areas available in this area.” (Jun-Ping Ng, Computing Reviews, April, 2016)
Editors and Affiliations
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Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano - Bozen, Italy
Francesco Ricci
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Information Systems Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel
Lior Rokach
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Ben-Gurion University of the Negev, Beer-Sheva, Israel
Bracha Shapira
About the editors
Bibliographic Information
Book Title: Recommender Systems Handbook
Editors: Francesco Ricci, Lior Rokach, Bracha Shapira
DOI: https://doi.org/10.1007/978-1-4899-7637-6
Publisher: Springer New York, NY
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Science+Business Media New York 2015
Softcover ISBN: 978-1-4899-7780-9Published: 23 August 2016
eBook ISBN: 978-1-4899-7637-6Published: 17 November 2015
Edition Number: 2
Number of Pages: XVII, 1003
Topics: Information Storage and Retrieval, Artificial Intelligence