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