Format:
1 Online-Ressource (xviii, 260 Seiten)
,
Illustrationen
Edition:
First edition
ISBN:
9781000886269
,
9781003319122
Series Statement:
Intelligent systems series
Content:
Recommender Systems: A Multi-Disciplinary Approach presents a multi-disciplinary approach for the development of recommender systems. It explains different types of pertinent algorithms with their comparative analysis and their role for different applications. This book explains the big data behind recommender systems, the marketing benefits, how to make good decision support systems, the role of machine learning and artificial networks, and the statistical models with two case studies. It shows how to design attack resistant and trust-centric recommender systems for applications dealing with sensitive data. Features of this book: Identifies and describes recommender systems for practical uses Describes how to design, train, and evaluate a recommendation algorithm Explains migration from a recommendation model to a live system with users Describes utilization of the data collected from a recommender system to understand the user preferences Addresses the security aspects and ways to deal with possible attacks to build a robust system This book is aimed at researchers and graduate students in computer science, electronics and communication engineering, mathematical science, and data science
Content:
Dr. Monideepa Roy did her bachelors and masters in mathematics from IIT Kharagpur and her PhD in CSE from Jadavpur University. For the last 11 years, she is working as an associate professor at KIIT Deemed University, Bhubaneswar... --- Dr. Pushpendu Kar is an assistant professor in the School of Computer Science at the University of Nottingham Ningbo China (China campus of the University of Nottingham UK). Before this, he was a research fellow in the Department of ICT and Natural Sciences at Norwegian University of Science and Technology (NTNU), Norway... --- Sujoy Datta has done his MTech from IIT Kharagpur. For the last 11 years, he has worked as an assistant professor in the School of Computer Engineering, KIIT Deemed University. His areas of research include wireless networks, computer security, elliptic curve cryptography and neural networks, remote healthcare, and recommender systems.
Additional Edition:
ISBN 9781032333229
Additional Edition:
ISBN 9781032333212
Additional Edition:
Erscheint auch als Druck-Ausgabe ISBN 1032333219
Additional Edition:
ISBN 9781032333212
Language:
English
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