Big Data Recommender Systems | Application Paradigms

Osman Khalid (u. a.)

ISBN 10: 1785619772 / ISBN 13: 9781785619779

Published by Institution of Engineering & Technology, 2019

About this Item

Big Data Recommender Systems | Application Paradigms | Osman Khalid (u. a.) | Buch | Gebunden | Englisch | 2019 | Institution of Engineering & Technology | EAN 9781785619779 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Seller Inventory # 115118324

Bibliographic Details

• Title: Big Data Recommender Systems | Application Paradigms
• Publisher: Institution of Engineering & Technology
• Publication Date: 2019
• Language: English
• ISBN 10: 1785619772
• ISBN 13: 9781785619779
• Binding: Buch
• Condition: Neu
• Dimensions: 239W x 160H x 30D millimeters 239 millimeters width by 160 millimeters height by 30 millimeters depth
• Weight: 862 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Authors

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.