Optimizing Music Station Playlists on Broadcast Radio

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Abstract
We developed an optimization-based engine that generates around-the-clock music playlists for radio stations, balancing strategic goals and business rules. By leveraging song metadata, machine learning–based song research, and listenership data, the system optimizes both playlist strength and diversity.