Recommender Systems: A Multi-Disciplinary Approach - Rilegato

Rilegato

ISBN 10: 1032333219 ISBN 13: 9781032333212

Casa editrice: CRC Press, 2023

Riassunto

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.

Su questo libro

Informazioni sull?autore

Monideepa Roy, Pushpendu Kar, Sujoy Datta

Dettagli dell'edizione

• Editore: CRC Press
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 1032333219
• ISBN 13: 9781032333212
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 260
• Redattore: Roy Monideepa, Kar Pushpendu, Datta Sujoy
• Contatto del produttore: non disponibile
• Persona responsabile: gpsr@libri.de; gpsr@libri.de; ; Friedensallee 273; Hamburg; 22763; Germania