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Variational autoencoders for collaborative filtering
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LICENSE Update Feb 19, 2018
VAE_ML20M_WWW2018.ipynb added ML20M notebook Feb 15, 2018

Variational autoencoders for collaborative filtering

This notebook accompanies the paper "Variational autoencoders for collaborative filtering" by Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, and Tony Jebara, in The Web Conference (aka WWW) 2018.

In this notebook, we show a complete self-contained example of training a variational autoencoder (as well as a denoising autoencoder) with multinomial likelihood (described in the paper) on the public Movielens-20M dataset, including both data preprocessing and model training.

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