Deep Latent Factor Model for Collaborative Filtering
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Abstract (arXiv)
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.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 10 Dec 2019.
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3 papers.