Deep Latent Factor Model for Collaborative Filtering
December 10, 2019 ยท Declared Dead ยท ๐ Signal Processing
"No code URL or promise found in abstract"
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Authors
Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux, Angshul Majumdar
arXiv ID
1912.04754
Category
cs.LG: Machine Learning
Cross-listed
cs.IR,
stat.ML
Citations
37
Venue
Signal Processing
Last Checked
6 months ago
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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