Combining temporal analysis with metrics such as energy and valence can help represent the path in a more modern way. We can filter through songs that gradually build in intensity, or find songs that are full of energy all the way through. Spotify’s recommendation engine also extracts semantic information from text […]
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Before Spotify can recommend music for you, its algorithms must have a quantitative way to describe each of the millions of tracks in its database. Creating an image for each music track is an interesting problem in itself. Spotify has invested in enough research to find the best models to describe […]
