Author

Rita Rismala

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Conference Jul 2026

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...

Muhammad Faried Gunawan, Rita Rismala · International Conference on... · 0 citations

Conference Jul 2026

Enhancing User-Side Fairness on Neural Collaborative Filtering Using Generative Adversarial Network-Based Augmentation

Deep recommender systems frequently suffer from algorithmic biases that lead to unequal recommendation exposure across demographic groups, particularly disadvantaging underrepresented users. Although various debiasing methods have been proposed, they typically rely on invasive architectural adjustments that disrupt the...

Radhofan Azizi Ramdhani, Rita Rismala · International Conference on... · 0 citations