Uploaded December 2022 | Updated September 2026, 2 weeks ago

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Learn how to build a music recommender system that suggests music artists using collaborative filtering and Alternating Least Squares. In the process, you’ll get a foundation about music recommenders, how Spotify recommends music, and how to use a production-ready collaborative filtering Python library called ‘implicit’.

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Get the code:
github.com/musikalkemist/musiccollaborativefiltering

Last.fm Music Artist Recommendation Dataset:
grouplens.org/datasets/hetrec-2011

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Content

0:00 Intro
0:28 Types of music recommendation
2:17 Spotify recommendation architecture
3:41 What are we building?
4:18 User-item matrix
6:41 Alternating least squares
13:50 Last.fm dataset
16:46 Package overview
17:28 Data loader routine
20:30 Artist retriever
23:12 Implicit - a collaborative filtering library
23:47 Recommender implementation
27:55 Running artist recommendations
30:35 Join The Sound of AI Slack Community!