A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering

Yiu-Kai Ng

2023

Abstract

Reading improves the reader’s vocabulary and knowledge of the world. It can open minds to different ideas which may challenge the reader to view things in a different light. Reading books benefits both physical and mental health of the reader, and those benefits can last a lifetime. It begins in early childhood and continue through the senior years. A good book should make the reader curious to learn more, and excited to share with others. For some readers, their reluctance to read is due to competing interests such as sports. For others, it is because reading is difficult and they associate it with frustration and strain. A lack of imagination can turn reading into a rather boring activity. In order to encourage adults to read, we propose an elegant book recommender for adults based on a deep learning and filtering approaches that can infer the content and the quality of books without utilizing the actual content, which are often unavailable due to the copyright constraint. Our book recommender filters books for adult readers simply based on user ratings, which are widely available on social media, for making recommendations. Experimental results have verified the effectiveness of our proposed book recommender system.

Paper Citation

in Harvard Style

Ng Y. (2023). A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR; ISBN 978-989-758-671-2, SciTePress, pages 248-256. DOI: 10.5220/0012171600003598

in Bibtex Style

@conference{kdir23,
author={Yiu-Kai Ng},
title={A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR},
year={2023},
pages={248-256},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012171600003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR
TI - A Personalized Book Recommender System for Adults Based on Deep Learning and Filtering
SN - 978-989-758-671-2
AU - Ng Y.
PY - 2023
SP - 248
EP - 256
DO - 10.5220/0012171600003598
PB - SciTePress