Search Results for author: Juan Arévalo

Found 2 papers, 0 papers with code

A Missing Information Loss function for implicit feedback datasets

no code implementations30 Apr 2018 Juan Arévalo, Juan Ramón Duque, Marco Creatura

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.

Denoising Recommendation Systems +1

Reinforcement Learning for Fair Dynamic Pricing

no code implementations27 Mar 2018 Roberto Maestre, Juan Duque, Alberto Rubio, Juan Arévalo

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.

Fairness reinforcement-learning +1

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