Volodymyr Vaskovych

On the Mechanisms of Collaborative Learning in VAE Recommenders

Variational Autoencoders (VAEs) are a powerful alternative to matrix factorization for recommendation. A common technique in VAE-based collaborative filtering (CF) consists in applying binary input masking to user interaction vectors, which improves performance but remains underexplored theoreticall…