Spotify Ab

Hugues Bouchard

Rishabh Mehrotra

Benjamin Lacker

James E McInerney

Samantha Hansen

Aloïs Gruson

Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations ('recsplanations') as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

Personalizing explainable recommendations with bandits

Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations ('recsplanations') as treatments ('Bart'). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

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New York, NY, United States of America

Hugues Bouchard