The workshop is designed by Google researchers as an introduction to recommendation systems. It covers the basics of recommendation, and a deep dive into some of the commonly used models, including matrix factorization and neural embedding models. A hands-on coding session will allow participants to train and evaluate a movie recommendation system.

• An understanding of how to formulate and train a recommendation problem.
• Hands-on experience training a simple but functional movie recommendation model.
• Experience with inspecting and evaluating recommendation models.
• A self-contained python notebook that can be used as a sandbox for experimenting.

• Basic knowledge of machine learning terminology, familiarity with Python for the coding sections. 
• Helpful but not required: familiarity with TensorFlow.  
• Laptops and internet access. The code/data will be available online.