Explore the fundamentals of recommendation systems and learn how to build them using TensorFlow in this 30-minute tutorial. Gain insights into content-based filtering and collaborative filtering techniques, and discover TensorFlow Recommenders for creating powerful recommendation models. Learn to construct ranking models, leverage context features, implement multitask learning, and understand Deep & Cross Networks. Dive into efficient serving methods using ScaNN for retrieval, equipping you with the skills to develop sophisticated recommendation systems for various applications.
Overview
Syllabus
Recommendation systems overview (Building recommendation systems with TensorFlow).
Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow).
Intro to TensorFlow Recommenders (Building recommendation systems with TensorFlow).
Building a ranking model with TF Recommenders (Building recommendation systems with TensorFlow).
Leveraging context features and multitask learning (Building recommendation systems with TensorFlow).
Deep & Cross Network (Building recommendation systems with TensorFlow).
Efficient serving with ScaNN for retrieval (Building recommendation systems with TensorFlow).
Taught by
TensorFlow
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