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

Yiu-Kai Ng

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

External IDs:dblp:conf/ic3k/Ng23