Multi-Relational Stacking Ensemble Recommender System Using Cinematic Experience

With the advent of many movie content platforms, users face a flood of contents and consequent difficulties in selecting appropriate movie titles. Although much research has been done in developing effective recommender systems to provide personalized recommendations based on customers' past preferences and behaviors, not much attention has been paid to leveraging users' sentiments and emotions to...