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Spotify’s Discover Weekly: How machine learning finds your new music
Spotify actually doesn’t use a single revolutionary recommendation model — instead, they mix together some of the best strategies used by other services to create its own uniquely powerful Discovery engine.
To create Discover Weekly, there are three main types of recommendation models that Spotify employs:
Collaborative Filtering models (i.e. the ones that Last.fm originally used), which work by analyzing your behavior and others’ behavior.
Natural Language Processing (NLP) models, which work by analyzing text.
Audio models, which work by analyzing the raw audio tracks themselves.
machinelearning  ai  nlp  algorithms  music  spotify  t 
2 days ago by paulbradshaw
The Spotify Model is No "Agile Nirvana"
At Spotify, management and the way the organization works supports teams and agile practices by growing people. But Spotify isn’t an "Agile Nirvana"; it’s hard…
IFTTT  via:Instapaper  spotify  devops  cloudnative  culture 
7 days ago by cote
Every Noise at Once
This is an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 1536 genres by Spotify.
music  visualization  data  genre  spotify  map 
7 days ago by mirthe
Every Noise at Once
This is an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 1536 genres by Spotify. The calibration is fuzzy, but in general down is more organic, up is more mechanical and electric; left is denser and more atmospheric, right is spikier and bouncier.
music  collection  Spotify 
7 days ago by rogulogu
Spotify Threatened Researchers Who Revealed 'Pirate' History - TorrentFreak
A team set to publish a book on the untold history of Spotify were threatened by the company, one of its researchers has revealed. Earlier this year, Rasmus Fleischer, who was also one of the early figures at The Pirate Bay, said that Spotify used 'pirate' MP3s to launch its beta. Soon after, the researchers were contacted by a lawyer, with strong suggestions to stop what they're doing.
As one of the members of Sweden’s infamous Piratbyrån (Piracy Bureau), Rasmus Fleischer was also one of early key figures at The Pirate Bay. Over the years he’s been a writer, researcher, debater, and musician, and in 2012 he finished his PhD thesis on “music’s political economy.”
spotify  history  books  piracy 
7 days ago by rgl7194

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