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Are you bored with Spotify recommendations? New feature is on the way

Spotify has started testing the feature of turning off personal recommendations. In this sense, the Spotify recommendation system will soon be under user control.
 Are you bored with Spotify recommendations?  New feature is on the way
READING NOW Are you bored with Spotify recommendations? New feature is on the way

Spotify personal recommendation system works in a way that makes recommendations based on the music users listen to. However, this recommendation system does not always satisfy users. In this sense, Spotify is trying to give users the opportunity to turn off personal recommendations.

Spotify’s feature to turn off personal recommendations appeared in beta codes

Of course, there is currently the option to turn off Spotify recommendations. However, what is turned off here only prevents you from listening to songs recommended outside your list. When you listen outside your lists, Spotify personal recommendations come into play again.

Spotify recommendations do not only appear in song suggestions similar to your lists. Options such as playlist suggestions you might like, song and playlist suggestions based on your personal music style are also included in the Spotify recommendation system.

According to this code found by MacRumors, it is not yet clear how the feature works. However, one of the guesses is that Spotify is trying this feature to protect the account. Accordingly, one of the goals is to ensure that guests such as friends, siblings and lovers who are connected to your account do not disrupt your Spotify personal recommendation system.

This very annoying situation can be eliminated by turning off Spotify suggestions. It is currently unclear whether this feature is specific to a region or will be general. Spotify announced that this new feature is currently in the trial phase.

But how does the Spotify recommendation system work? Spotify’s recommendation system combines a number of machine learning and artificial intelligence-driven methods. The feature’s algorithm analyzes listening history, favorite genres and time of day when users listen to music, and bases personal recommendations on these parameters. This process begins by analyzing the sound of a song the user is interacting with. It then uses certain filtering tools to recommend new songs with similar features.

This filtering consists of criteria such as similar rhythm, similar audience and tempo. Thus, the Spotify algorithm brings together the best songs for you to listen to.

Do you think Spotify recommendations are really annoying? Or do these suggestions sometimes help you discover new sounds and singers you don’t know about? We are waiting for your comments on this issue.

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