Muhammad Faried Gunawan

A Stacking Ensemble of Collaborative Filtering and Random Forest for Movie Recommendation

Recommender systems often struggle to balance global preference patterns, local similarity, and complex user-item interactions within a single model. Existing approaches combine traditional collaborative filtering (CF) methods such as Singular Value Decomposition (SVD) and K-Nearest Neighbors (KNN) with gradient boosti...