Inside Spotify's Recommendation System: A Complete Guide
by Dmitry Pastukhov · Music Tomorrow
A long technical explainer of Spotify's recommender stack: metadata and raw-audio analysis, collaborative filtering over roughly 700 million user playlists, taste-cluster profiling, and the separate systems behind Discover Weekly and Daily Mix. Cites Spotify research publications throughout.
More resources on Spotify & Streaming Platforms
Music Business Foundations
This course has been developed to provide students with the latest instruction on the best way for creators, consumers, and facilitators to navigate the resurgence of one of the world’s most exciting industries: the music business. Three things are clear about today’s music industry: The consumption of music is expanding at the greatest rate in history and from the most portals ever imagined, the cost of producing music is decreasing, and the number of artists creating and seeking to expose their work and develop careers through the Internet has increased dramatically. Whether you’re a music creator, consumer, or facilitator of this process, you’ll want to understand the history, underpinnings, and basics of the music business. Course author John Kellogg—administrator, educator, entertainment lawyer, performer, and radio and television personality—offers students the opportunity to learn the fundamental principles of the developing new music business, for now and into the future. What you'll learn: -- The basic history of the music industry and today's business trends -- How recording agreements are formulated -- The basics of copyright law as it pertains to the music business -- The role of agents, managers, attorneys, and specific business entities
hypebot.com
Hypebot is a music-industry blog offering news, insights, and practical guidance on music marketing and the business of music, including streaming trends, tech, social media, and indie-artist strategies.
Spotify for Artists
Spotify's official platform for musicians and their teams. Artists can claim their profile, read streaming and audience analytics, pitch unreleased songs to editorial playlists, and use guides on releasing music, promotion, and understanding how listeners discover tracks on Spotify.
Platforms, Promotion, and Product Discovery: Evidence from Spotify Playlists
Econometric study measuring what playlist placement is worth, using track additions and removals, cross-country New Music Friday variation, and instrumental variables. Estimates a Today's Top Hits slot generated roughly 20 million additional streams, worth about $116,000 to $163,000.
You Have Not Yet Heard Your Favourite Song: How Streaming Changes Music
Written by Spotify's former data alchemist, who built its genre taxonomy and the Every Noise at Once map. Explains from the inside how recommendation algorithms, playlists, listening data, and royalty maths actually operate, and what streaming has done to musical variety.
Mood Machine: The Rise of Spotify and the Costs of the Perfect Playlist
Investigative account of Spotify built on over a hundred interviews with former employees, playlist editors, and musicians. Documents the editorial and algorithmic playlist machinery, the Perfect Fit Content program seeding playlists with cheap stock tracks, and how playlisting reshaped what gets made. The definitive reported account of how Spotify's playlist system actually decides what listeners hear - the mechanism this topic is about, seen from inside the editorial org rather than the artist dashboard.