The Manager's Reading List: A Personalized Book Recommendation System for Management Growth

Abstract

In today's era, the significance of technology in education and learning has dramatically increased. With the vast growth of digital libraries and online bookstores, there is a need for efficient book recommendation systems that can assist individuals in finding relevant and valuable books in their respective domains. In the management domain, it has become imperative to have a recommendation system that can assist management students and professionals in selecting books that can benefit their learning and development. In this research paper, we propose a book recommendation system that is designed to serve the management domain. The system utilizes various data mining techniques and machine learning algorithms to provide personalized recommendations to the users. The results of the experiments demonstrate the effectiveness of the proposed recommendation system.