Deep Latent Factor Model for Collaborative Filtering

Aanchal Mongia; Neha Jhamb; Emilie Chouzenoux; Angshul Majumdar

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arXiv · 1912.04754

Deep Latent Factor Model for Collaborative Filtering

Aanchal Mongia·Neha Jhamb·Emilie Chouzenoux·Angshul Majumdar

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Abstract

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.

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Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar. 2019-12-10. Deep Latent Factor Model for Collaborative Filtering. https://arxiv.org/abs/1912.04754

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