Joint Variational Autoencoders for Recommendation with Implicit Feedback

1 code implementation • 17 Aug 2020 • Bahare Askari, Jaroslaw Szlichta, Amirali Salehi-Abari

We introduce joint variational autoencoders (JoVA), an ensemble of two VAEs, in which VAEs jointly learn both user and item representations and collectively reconstruct and predict user preferences.

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