Understanding AI music discovery and recommendation systems

Paul Dachs
The Sound of AI
Published in
1 min readJun 6, 2019

Even though we enjoy when a friend sends us a new song they’re raving over, there’s no guarantee we’ll love it like they do. They probably don’t know that we listened to ‘Despacito’ five times in the last six hours, and that more reggaeton isn’t what we’re in the mood for. That’s where AI comes in, specifically recommendation systems. Popular music streaming services like Spotify rely on algorithm-based recommendation systems to suggest songs you might like.

Many music professionals might be familiar with these services from a consumer point of view; the inner AI-workings less so. That’s what the focus of our second webinar is all about.

In this one-hour webinar we share our research on listener’s music discovery habits. You’ll also learn how these recommendation systems work, and how they can bring value to specific business cases, whether in music or non-musical fields.

If you’re interested in joining our future webinars live, please sign up here: https://mailchi.mp/2bc1495e91d8/webinar-ai-music-discovery.

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