The Ultimate Matchmaker: Building Recommender Systems with TensorFlow

Ashmi Banerjee

Are you curious about how recommendation engines work? In this workshop, we'll dive deep into the world of TensorFlow Recommender Systems, exploring the fundamental concepts, techniques, and tools needed to build effective recommendation engines. We'll start with an overview of the different types of recommender systems, including collaborative filtering, content-based filtering, and hybrid models. We'll also explore evaluation metrics and learn how to measure the effectiveness of these models. The workshop then shifts to hands-on exercises that allow you to build your own recommendation engine using TensorFlow. You'll learn how to prepare data, train the model, and make recommendations. Through guided examples, you'll gain a practical understanding of the end-to-end process of building a recommendation engine.