An Explainable Autoencoder For Collaborative Filtering Recommendation

23 Dec 2019Pegah Sagheb HaghighiOlurotimi SetonOlfa Nasraoui

Autoencoders are a common building block of Deep Learning architectures, where they are mainly used for representation learning. They have also been successfully used in Collaborative Filtering (CF) recommender systems to predict missing ratings... (read more)

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