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    Debiased Self-Training을 활용한 대리운전 보너스콜 최적화

    SK AI SUMMIT 20240.0
    26 minutes
    Korean
    0/1 уроков (0%)
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    Debiased Self-Training을 활용한 대리운전 보너스콜 최적화

    YouTube·Machine Learning

    Learn about optimizing bonus calls for designated driver services through Debiased Self-Training in this technical conference presentation from SK TECH SUMMIT 2023. Explore how T Map Mobility addresses the challenges of a two-sided market in the designated driver platform, where passengers and drivers often have conflicting price expectations. Discover the innovative approach to developing AI models using limited and biased data to effectively match passengers with drivers while maintaining competitive pricing. The speaker, Seongwon Jang from T Map Mobility, shares his experience as a Data Scientist/ML Engineer in developing and enhancing AI models for bonus calls, pricing, and dispatch systems, ultimately working towards the goal of eliminating drunk driving through efficient passenger-driver connections.

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