Deep Bayesian Bandits: Exploring in Online Personalized Recommendations

3 Aug 2020Dalin GuoSofia Ira KtenaFerenc HuszarPranay Kumar MyanaWenzhe ShiAlykhan Tejani

Recommender systems trained in a continuous learning fashion are plagued by the feedback loop problem, also known as algorithmic bias. This causes a newly trained model to act greedily and favor items that have already been engaged by users... (read more)

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