Powering Millions of Real-Time Decisions with LyftLearn Serving
摘要
Hundreds of millions of real-time decisions are made each day at Lyft by online machine learning models. These model-based decisions include price optimization for rides, incentives allocation for drivers, fraud detection, ETA prediction, and innumerable others that impact how riders move and drivers earn.
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