SearcharxivSearch

arXiv subjects

Neha Jhamb

Publications and source records attributed to Neha Jhamb.

1 recordsLinked to original sources

Deep Latent Factor Model for Collaborative Filtering

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.

cs.LG