Spotify Mixes are here to save you from musical monotony
Spotify Mixes use machine learning to help you find new music that you'll love.
What you need to know
- Spotify Mixes create personalized playlists for you based on machine learning.
- There are mixes based on genre, artists, and decades.
- The feature is rolling out now to Spotify on all platforms.
A new feature from Spotify helps you find new music based on what you already love and listen to. They're called Spotify Mixes, and they allow you to find new music based on genre, artists, and decade. They take inspiration from Spotify's Daily Mix, but take it a few steps further.
Spotify Mixes are made with machine learning to help discover music for each person individually. Spotify's chief R&D officer, Gustav Söderström, said of them:
The feature is rolling out now to both free and premium Spotify users. Once they roll out, the new mixes will be found within the "Made For You" section in the search option.
Spotify recently announced that it is moving away from the clunky old Spotify app on Windows 10. The new experience on Windows 10 will line up with the soon-to-be updated web version of Spotify, which could become one of the best Windows apps.
The new genre, artist, and decade mixes already show up on my Spotify app on Windows 10, though they don't appear within the web version for me. The feature is rolling out gradually, so that's to be expected.
The new Spotify experience brings a streamlined view, offline playback support, and more. It also brings the desktop app in line with the web version of Spotify.
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Sean Endicott is a tech journalist at Windows Central, specializing in Windows, Microsoft software, AI, and PCs. He's covered major launches, from Windows 10 and 11 to the rise of AI tools like ChatGPT. Sean's journey began with the Lumia 740, leading to strong ties with app developers. Outside writing, he coaches American football, utilizing Microsoft services to manage his team. He studied broadcast journalism at Nottingham Trent University and is active on X @SeanEndicott_ and Threads @sean_endicott_.