Colab: Build a Movie Recommendation System

This Colab notebook goes into more detail about Recommendation Systems. Specifically, you will be using matrix factorization to build a movie recommendation system, using the MovieLens dataset. Given a user and their ratings of movies on a scale of 1-5, your system will recommend movies the user is likely to rank highly.

Topics covered:

  • Exploring the MovieLens Data
  • Matrix factorization using SGD
  • Embedding Visualization
  • Regularization in Matrix Factorization

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Recommendation Systems