Machine Learning behind Spotify's Recommendation Algorithm (2/4)

Take a look at various Implicit Matrix Factorization for Collaborative Filtering being used at Spotify and how to implement a small scale version using python, numpy, and scipy, as well as how to scale up to 20 Million users and 24 Million songs using Hadoop and Spark.

(Chris is Engineering Manager – Recommendations and Personalization at Spotify)