Recommender Systems: A Multi-Disciplinary Approach (Intelligent Systems)

Synopsis

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.

Copyright:

2023

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781000886283

Related ISBNs:

9781032333212, 9781032333229, 9781003319122

Publisher:

CRC Press

Date of Addition:

06/19/23

Copyrighted By:

selection and editorial matter, Monideepa Roy, Pushpendu Kar, and Sujoy Datta

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet, Technology, Mathematics and Statistics

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

Monideepa Roy

Edited by:

Pushpendu Kar

Edited by:

Sujoy Datta