Big Data Recommender Systems: Application Paradigms Contributor(s): Khalid, Osman (Editor), Khan, Samee U. (Editor), Zomaya, Albert Y. (Editor) |
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ISBN: 1785619772 ISBN-13: 9781785619779 Publisher: Institution of Engineering & Technology OUR PRICE: $166.25 Product Type: Hardcover - Other Formats Published: August 2019 |
Additional Information |
BISAC Categories: - Computers | Networking - General |
Series: Computing and Networks |
Physical Information: 1.2" H x 6.3" W x 9.4" (1.90 lbs) 520 pages |
Descriptions, Reviews, Etc. |
Publisher Description: 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. |
Contributor Bio(s): Khalid, Osman: - 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. Khan, Samee U.: -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. Zomaya, Albert y.: -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. |