Probabilistic Matrix Factorization for Music Recommendation

Code : https://github.com/gbolmier/funk-svd

gbolmier/funk-svd: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize – GitHub
Funk SVD for recommendation in a nutshell. We have a huge sparse matrix: storing known ratings for a set of users and items: The idea is to estimate unknown ratings by factorizing the rating matrix into two smaller matrices representing user and item characteristics:
github.com

Paper: https://drive.google.com/file/d/1NCQeJzY_ksRIoOSwkr02MrFXS1JETscH/view?fbclid=IwAR2MKCn8UufA3dB8kVKV7TI0qEMyBjb_fOA0FBEVRpA4swDO3RE43wYOMWY

26419875.pdf
drive.google.com

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