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Personalized Book Recommendation System: Enhancing Reading Experiences for Students and Readers

1 Mr.R.RAMAKRISHNAN, 2 A. KARTHIGA, 3 R. ABIRAMY

1 Head of the department & Associate Professor, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous),   Puducherry 605008, India

ramakrishnanmca@smvec.ac.in

2 Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous),   Puducherry 605008, India

raviabiramy929@gmail.com

3 Post Graduate student, Department of computer Applications, Sri Manakula Vinayagar Engineering College (Autonomous),  Puducherry 605008, India

karthiga211102@gmail.com

 

ABSTRACT:

This project focuses on developing a Book Recommendation System designed to help users find books they will enjoy. The system suggests books based on a user's preferences, such as genres they like, books they have previously read, or ratings they have given to other books. The recommendation is made using simple methods like comparing the content of books or finding other users with similar tastes. The goal of this system is to make book discovery easier and more personalized, allowing students and other readers to quickly find books that match their interests. The system is user-friendly and aims to improve the reading experience by offering book suggestions that users are likely to enjoy. The system helps users, particularly students, easily find books that match their specific interests and preferences. By suggesting books based on previous reading habits or genre preferences, it saves time and effort in browsing through vast book collections. The system can recommend books related to a student's academic interests or course subjects, helping them find relevant learning materials, textbooks, and study resources more easily. This can support both their academic and personal development.

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