Big Data Recommender Systems: Application Paradigms
Language: English
Published by Inst of Engineering & Technology, 2019
- Hardcover
- New
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
£ 160.42
Quantity: 2 available
Add to basketItem description from seller
494 pages. 9.25x6.25x1.25 inches. In Stock.
Seller Inventory # x-1785619772
- Title
- Big Data Recommender Systems: Application Paradigms
- Author
- Khalid, Osman (Editor)/ Khan, Samee U. (Editor)/ Zomaya, Albert Y. (Editor)
- Publisher
- Inst of Engineering & Technology
- Publication year
- 2019
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1785619772
- ISBN 13
- 9781785619779
- Item weight
- 0.91 kilograms
First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users’ data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges.
Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.
"Synopsis" may belong to another edition of this title.
About the Author
Osman Khalid is assistant professor at the department of computer sciences, COMSATS Institute of Information Technology, Abbottabad, Pakistan. His research interests include recommender systems, trust and reputation system, disaster response systems, delay tolerant networks, wireless networks, and fog computing.
Samee U. Khan is associate professor of electrical and computer engineering at the North Dakota State University, USA. His research interests include optimization, robustness, and security of systems.
Albert Y. Zomaya is chair professor of high performance computing & networking and Australian research council professorial fellow in the School of Information Technologies, The University of Sydney, Australia. He is also the director of the Centre for Distributed and High Performance Computing.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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