Music Recommender Systems Explained
Understand how music discovery algorithms work and leverage this knowledge to maximise algorithmic consumption for your upcoming and existing releases
Why should you learn about streaming SEO?
From where do people stream the most?
The four types of listener behavior
What percentage of streaming users are music savants?
Do DSPs have an incentive to favor diverse listening on their platforms?
Survey Answer: Do DSPs have an incentive to favor diverse listening?
Introduction - Behind the algorithms
Content filtering explained
Collaborative filtering explained
Modelling user tastes and behaviors
Survey: Skip probability
Song skipping behaviors
The Spotify recommendation pipeline
Optimizing for content & audio similarity
Optimizing for behavioral similarity
Your ultimate streaming SEO checklist
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A PDF to help you keep track of the main steps and action points you need to keep in mind when preparing your next release. Make sure that the deck is stacked in your favor when it comes to securing algorithmic placements
Access the community of like-minded data driven music professionals. Reach out directly to our instructors if you need help with your streaming SEO analysis assignment — or just want to ask a question
This course has been designed for independent artists and music professionals alike (from label managers to music marketers, playlist pitchers, artist managers, and so on). If you work with platforms like Spotify and want to maximise the algorithmic exposure of releases you work with — this course is for you! Or, maybe, you just want to expand your understanding of the modern music recommender systems and develop your music business skill set. That's fine as well
Our course on SEO optimization on streaming platform is an easy-to-follow, digestible video guide that would help you better understand and leverage algorithmic recommender systems across platforms like Spotify, Deezer and more. It's sourced by our first-hand experience developing music recommender system and years of working on the bleeding edge of music data products.
Music Tomorrow was founded in 2020 by longtime music industry executive Julie Knibbe after more than 8 years of working at the bleeding edge of music data. Her past experiences include building up Deezer’s recommendation and discovery algorithms and heading the product team at Soundcharts, a one-stop music data platform providing music professionals with actionable insights to help them discover new talent and develop artist’s careers. Today, she’s leading Music Tomorrow to empower professionals and companies across the industry to access, understand and leverage data to grow their artists and businesses.
Build up your skill set and unlock your next career opportunity with dedicated music data courses