Workshop / Overview

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.

Workshop / Outcome

  • 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.

Workshop / Difficulty

Intermediate level

Workshop / Prerequisites

• 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. 

Track / Co-organizers

Walid Krichene

Engineer, Google Research

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