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A Missing Information Loss function for implicit feedback datasets
In this paper we propose a novel objective function, the \emph{Missing Information Loss} (MIL), that explicitly forbids treating unobserved user-item interactions as positive or negative feedback.
Reinforcement Learning for Fair Dynamic Pricing
Unfair pricing policies have been shown to be one of the most negative perceptions customers can have concerning pricing, and may result in long-term losses for a company.
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