Beyond the Textbook: Three Engineering Decisions That Made Music Matching Work

Building a music-curator matching system requires more than applying textbook similarity metrics—three critical design decisions fundamentally separate a demo that looks good from production code that ranks sensibly. This article reveals concrete choices like asymmetric recall-based genre scoring and deliberate exclusion of tempo that emerged from real failures and now define how the OTONAMI platform connects artists with curators.