Enhancing library book recommendations using clustering and association rule mining
Introduction. This study investigates library user clusters to improve book recommendations. Data on daily borrowing behaviours from 2020 to 2025 were collected from the Prince of Songkla University, Pattani Campus library. Method. Users were clustered using K-means. The optimal number of clusters was selected via the...