Recommender Systems: A Multi-Disciplinary Approach

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.