It then makes sure that you have the most recent releases from them in a single playlist that is unique to you. “ Release radar is very similar in the sense that it analyzes who your favorite artists are and what you listen to repeatedly. This use of big data is definitely a pillar of our personalization strategy.” “ Discovery weekly looks at the artists that you like, the songs that you play repeatedly and then analyzes other playlists that contain the same songs and shares what other songs are in that playlist to help you discover new music.

In our discussion, he explained two of their popular playlists: Discover Weekly and Release Radar. The strength of their algorithm is also much loved around the world. There are more than 4 billion playlists in Spotify created by users, an editorial team and artists.

These playlists, according to Kalle are a mix between human and machine learning. We have a team of music experts that are highly skilled at looking at different markets, different genres, different cultures, and seeing what is the most popular content, as well as finding content that suits different moods and moments,” said Kalle Persson. “We have over a hundred expertly curated playlists for all of Africa, which have been in the works for some time. When they launched in Kenya, they had already made a Made in Kenya playlist, Gengetone playlist and much more. Spotify is loved for its playlists which is thanks to its algorithm and from human editors that curate these playlists.

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