Build a Spotify-Like Music Recommender System in Python

Discover how to create a music recommender system similar to Spotify using Python in this comprehensive tutorial video. Explore the foundations of music recommendation, including collaborative filtering and Alternating Least Squares. Gain insights into Spotify's recommendation architecture and learn to implement a production-ready system using the 'implicit' library. Follow along as the instructor guides you through building a user-item matrix, working with the Last.fm dataset, and developing key components such as data loaders and artist retrievers. By the end of this 31-minute session, you'll have the skills to run artist recommendations and understand the intricacies of music recommendation systems.

Intro
Types of music recommendation
Spotify recommendation architecture
What are we building?
User-item matrix
Alternating least squares
Last.fm dataset
Package overview
Data loader routine
Artist retriever
Implicit - a collaborative filtering library
Recommender implementation
Running artist recommendations
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