Sparsity-Aware Movie Recommendation through Dynamic User Profiling and Ensemble Machine Learning
Aim: This study aimed to improve movie recommendation accuracy under sparse rating conditions by developing an ensemble system that uses dynamically weighted user profiles to generate personalised recommendations. Design: An experimental quantitative design was adopted. The ensemble recommendation system integrated Ca...