How does Netflix recommend movies? Matrix Factorization
Serrano.Academy
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Welcome to Serrano.Academy! I'm Luis Serrano and I love demystifying concepts, capturing their essence, and sharing these videos with you. I prefer illustrations, analogies, and cartoons, rather than formulas (although we don't shy away from the math when needed). The topics I have are machine learning, mathematics (probability and statistics), but I'm open to many others. If you have any topics you'd like to suggest, feel free to add them in the comments or drop me a line! For more information, check out http://serrano.academy. And also check out my book! Grokking Machine Learning http://manning.com/books/grokking-machine-learning (40% discount code: serranoyt)
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Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML 40% discount code: serranoyt A friendly introduction to recommender systems with matrix factorization and how it's used to recommend movies in Netflix. Accompanying Notebook by Yannet Interian: https://github.com/yanneta/pytorch-tutorials/blob/master/collaborative-filtering-nn.ipynb Gradient descent video mentioned at the end: https://www.youtube.com/watch?v=BR9h47Jtqyw What is Machine Learning: (0:05) How do recommendations work - Netflix example (0:40) How to figure out dependencies - Matrix Factorization (7:35) Matrix Factorization Benefits 20:38 How to find the right factorization (16:03) Error Function for factorization (26:35) How to use the factors to predict ratings - Inference (30:14) (Thanks for the timings, Samarth Piano Posts!)
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