Deezer is addressing the “black box” opacity of algorithmic curation by introducing explicit variable controls into its “Flow” infinite playback engine. The new “Flow Tuner” interface allows listeners to manually toggle specific genres and subgenres within the active recommendation pool, creating a hybrid filtering system that combines historical listening data with real-time user-defined constraints. This effectively transforms the algorithm from a passive prediction model into a user-steered tool, allowing for immediate correction of the platform’s machine learning biases.
Curated by MusicResearch.com from Music Ally. Read the full article at: Deezer debuts ‘Flow Tuner’ to help listeners tune its algorithm
