Once this is done, Spotify compares the tastes of each user, crosses this data and finds suitable songs to recommend later. This process involves scanning millions of users each time, so you can find other people who are listening to similar playlists. In practice, Spotify's algorithm continuously analyzes the playlists of its subscribers around the world, comparing them with the songs that are listened to, and then formulates very precise related playlists. But it was only after the acquisition of the music intelligence platform Echo Nest in 2014 that Spotify was able to offer the famous Discover Weekly - its weekly music recommendation service based on previous playlists and users' personal preferences.
With just over 70 million subscribers, Spotify is the undisputed leader in music streaming. Let's see together how the main players in the music streaming sector use these technologies to automatically improve their services. By now almost all music streaming services help users to create the right playlist through AI and machine learning, which are able to understand the tastes of customers and recommend songs to add to the queue.
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