Spotify’s Discover Weekly: How machine learning finds your new music

The science behind personalized music recommendations: "to create Discover Weekly, there are three main types of recommendation models that Spotify employs: Collaborative Filtering models (i.e. the ones that Last.fm originally used), which work by analyzing your behavior and others’ behavior. Natural Language Processing (NLP) models, which work by analyzing text. Audio models, which work by analyzing the raw audio tracks themselves.

The science behind personalized music recommendations: "to create Discover Weekly, there are three main types of recommendation models that Spotify employs: Collaborative Filtering models (i.e. the ones that Last.fm originally used), which work by analyzing your behavior and others’ behavior. Natural Language Processing (NLP) models, which work by analyzing text. Audio models, which work by analyzing the raw audio tracks themselves.