Web-Based Book Recommender System: Design and Implementation

Abstract

One of the most popular activities among teenagers is reading. However, with so many books to choose from, deciding which one to start reading might be difficult. Furthermore, the emergence of ebooks has made it more difficult for readers to browse through books before committing to reading them. As a result, a recommender system is developed in this study to assist readers in selecting the best books from the book list. The recommender system matches books that readers with comparable backgrounds have read based on a sample of the reader's background, such as gender and age. The system specifications and design of the book recommender system were proposed in this study. For ease of use by book readers, the system is implemented as a web-based system. The prototype was tested and reviewed by 30 people; the majority of them were teens. The majority of respondents gave positive feedback on the system's interface design and content, indicating that the system is well-liked. This demonstrates that the approach benefits book readers by assisting them in selecting the best books to read. The proposed specification can be used as a starting point for further research into the construction of a book recommender system.