Self-supervised variational autoencoder towards recommendation by nested contrastive learning

Recommendation methods predicting potential items for user has evolved from linear factor models to non-linear factor deep learning models. Deep generative model, especially variational autoencoder(VAE), has been used in a wide range of recommendation systems such as MultVAE and RecVAE. Despite effe...

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