Deep density networks and uncertainty in recommender systems

ICLR 2018 Yoel ZeldesStavros TheodorakisEfrat SolodnikAviv RotmanGil ChamielDan Friedman

Building robust online content recommendation systems requires learning complex interactions between user preferences and content features. The field has evolved rapidly in recent years from traditional multi-arm bandit and collaborative filtering techniques, with new methods employing Deep Learning models to capture non-linearities... (read more)

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