Deep Stacked Ensemble Recommender
Rasaq Otunba, Raimi Ayinde Rufai, Jessica Lin · 2019
Collaborative filtering techniques remain a staple in recommender systems research and applications. With the plethora of research done in recommender systems, some more recent works applied deep learning with great success. We stack a deep neural network recommender onto a shallow one for item recommendations in this work. Our experiments with popular datasets indicate that the proposed technique outperforms other state-of-the art techniques and baselines in key performance metrics.