Recommendation systems overview (Building recommendation systems with TensorFlow)
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Content-based filtering & collaborative filtering (Building recommendation systems with TensorFlow)
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Intro to TensorFlow Recommenders (Building recommendation systems with TensorFlow)
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Building a ranking model with TF Recommenders (Building recommendation systems with TensorFlow)
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Leveraging context features and multitask learning (Building recommendation systems with TensorFlow)
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Deep & Cross Network (Building recommendation systems with TensorFlow)
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Efficient serving with ScaNN for retrieval (Building recommendation systems with TensorFlow)
Description:
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.