Amazon Technologies, Inc.

Royden Mark Jacob Lewis

Sheng Bi

Chun-Che Wang

Paul Grunchich

Hunlan Lin

Naiem Khodabandehloo Yeganeh

Chenzhi Shao

Systems and methods are provided for retraining a machine learning model to learn a retrained machine learning model. After a computing system receives an execution log of a prediction service and an observed user action, it may create retraining data. From the retraining data, the computing system may learn a retrained machine learning model. The retrained machine learning model can be used to compute future predictions of user actions if it has an improved performance over the original machine learning model.

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Seattle, WA, United States of America

Royden Mark Jacob Lewis