Spotify doesn’t just offer a mix of playlists as recommendations like its competitors. Instead, its subscribers offers a personal service.

Agree How does this Spotify algorithm work?

In fact, Spotify knows a lot more about us than we realize.

From our music listening history, what playlists we create, It keeps track of everything from which songs we skipped, even to our location. It makes its recommendations by taking all these matters into account.

Plus, Discover Weekly, which refreshes every Monday, features playlists from other people with similar music preferences to us. This, By researching songs and music blogs that are similar to the songs we like It’s a list of 30 songs.

On the other hand, Spotify started working with a startup company called The Echo Nest in 2014 to provide better recommendations.

Brian Whitman, the co-founder of this company, said that 10 million music-related websites were followed in 1 day. This way you can learn what is happening in the music world. They could get information immediately.

But the current recommendation system, Failed to include an unknown singer in their recommendation system. This problem was called Cold Start. Spotify also started using deep learning technology to solve this problem.

For this reason, music An algorithm that performs auditory similarity analysis made. So Discover Weekly started including songs we’d never heard before into our playlists.

Moreover, Spotify is a company that researches its users.

He stated that in 2015, it recorded approximately 1 TB of user data per day to maintain its competitiveness. Users age, location, gender, songs listened to and skipped, how many times a song was listened to Analyzes data such as.

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