Recommender System with Machine Learning and Artificial Intelligence, 9781119711575
Hardcover
Personalized recommendations unlocked: AI empowers better choices in complex fields.

Recommender System with Machine Learning and Artificial Intelligence

practical tools and applications in medical, agricultural and other industries

$526.96

  • Hardcover

    448 pages

  • Release Date

    1 January 1900

Check Delivery Options

Summary

Personalized Recommendations: A Deep Dive into Recommender Systems

This book is a multi-disciplinary collaboration featuring experts from artificial intelligence, human-computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. It offers a comprehensive exploration of recommender systems, which provide personalized suggestions to new users based on their historical interactions. Recomme…

Book Details

ISBN-13:9781119711575
ISBN-10:1119711576
Author:Sachi Nandan Mohanty, Jyotir Moy Chatterjee, Sarika Jain, Ahmed A. Elngar, Priya Gupta
Publisher:John Wiley & Sons Inc
Imprint:Wiley-Scrivener
Format:Hardcover
Number of Pages:448
Release Date:1 January 1900
Weight:454g
Dimensions:10mm x 10mm x 10mm
About The Author

Sachi Nandan Mohanty

Sachi Nandan Mohanty received his PhD from IIT Kharagpur, India in 2015 and is now at ICFAI Foundation for Higher Education, Hyderabad, India.

Jyotir Moy Chatterjee is working as an Assistant Professor (IT) at Lord Buddha Education Foundation, Kathmandu, Nepal. He has completed M.Tech in Computer Science & Engineering from Kalinga Institute of Industrial Technology, Bhubaneswar, India.

Sarika Jain obtained her PhD in the field of Knowledge Representation in Artificial Intelligence in 2011. She has served in the field of education for over 18 years and is currently in service at the National Institute of Technology, Kurukshetra.

Ahmed A. Elngar is the Founder and Head of Scientific Innovation Research Group (SIRG) and Assistant Professor of Computer Science at the Faculty of Computers and Information, Beni-Suef University, Egypt.

Priya Gupta is working as an Assistant Professor in the Department of Computer Science at Maharaja Agrasen College, University of Delhi. Her Doctoral Degree is from BIT (Mesra), Ranchi.

Returns

This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.