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One of Spotify's most successful products is without a doubt Discover Weekly. A personalized playlist that lands "in your inbox" every Monday and contains twenty to thirty songs that you probably haven't heard yet, but should suit your taste as much as possible. Now Spotify will try to do something similar with music news.

A playlist called the Release Radar will be released every Friday for each user and will feature the latest tracks, but again should match what you normally listen to. However, putting together such a playlist is much more complicated than with Discover Weekly.

"When a new album comes out, we don't have a lot of information about it yet, we don't have streaming data and we don't even have an overview of what playlists it's placed in, which are practically the two main factors that make up Discover Weekly," revealed Edward Newett, technical the manager who is in charge of Release Radar.

That is why Spotify has recently experimented significantly with the latest deep learning techniques, which focus on the audio itself, not related data, such as streaming data, etc. Without this, it would be practically impossible to compile personalized playlists with new songs.

While Discover Weekly focuses on the last six months of your listening, Release Radar can't, because your favorite band might not have released an album in the last two years, which is the usual time between albums. That's why Release Radar examines your complete listening history and then tries to find matching releases from the last two to three weeks.

Moreover, it doesn't want to focus only on new music from artists you already have in your library, but like Discover Weekly, it also offers completely new singers or bands. This is of course tricky, because for example brand new artists haven't even been properly categorized yet, but it's thanks to deep learning algorithms that Release Radar is supposed to work in this regard as well. It will be very interesting to see if this service will be as successful and popular as Discover Weekly.

Source: The Verge
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