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Adversarial Autoencoders for Recommendation Tasks

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Adapted generator, discriminator and IRGAN to use the average of item embeddings instead of user embeddings.

When you look at the metrics, you compare real meta data with predicted meta data. What do you do with referrals? Or is this the end of the paper or...

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