Algorithmic Music Discovery at Spotify
Spotify crunches hundreds of billions of streams to analyze user's music taste and provide music recommendations for its users. We will discuss how the algorithms work, how they fit in within the products, what the problems are and where we think music discovery is going. The talk will be quite technical with a focus on the concepts and methods, mainly how we use large scale machine learning, but we will also some aspects of music discovery from a user perspective that greatly influenced the design decisions.
Additional Supporting Materials
- How does an algorithmic music discovery system work?
- What do we use it for and what are the design criteria?
- What are some challenges scaling it up?
- What is the user impact?
- How does it fit in with other types of music discovery, such as social and editorial?
Erik Bernhardsson, Engineering Manager, Spotify
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