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Conditioned Variational Autoencoder for top-N item recommendation

International Conference on Artificial Neural Networks (ICANN), 2020
Abstract

In this paper, we propose a Conditioned Variational Autoencoder to improve state-of-the-art performances in top-N item recommendation.

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