Deep Latent Factor Model for Collaborative Filtering
Aanchal Mongia, Neha Jhamb, Émilie Chouzenoux, Angshul Majumdar · arXiv (Cornell University) · 2019
Latent factor models have been used widely in collaborative filtering based recommender systems. In recent years, deep learning has been successful in solving a wide variety of machine learning problems. Motivated by the success of deep learning, we propose a deeper version of latent factor model. Experiments on benchmark datasets shows that our proposed technique significantly outperforms all state-of-the-art collaborative filtering techniques.