Building a listwise ranking model with TF Recommenders and TF Ranking

Developer Advocate Wei Wei shows how to leverage TensorFlow Ranking, a deep learning library, to improve the ranking stage for TF Recommenders. Follow along as he shares how to build a listwise ranking model. Resources: TensorFlow Ranking → Listwise ranking using TF Recommenders and TF ranking → Position-aware ListMLE: A Sequential Learning Process → Normalized Discounted Cumulative Gain (NDCG) → Deep Learning Recommendation Model (DLRM)→ Chapters: 0:00 - Introduction 2:12 - High level overview of TF Ranking 2:57 - Ways to rank a candidate 3:26 - Building a ranking model 7:22 - Deep Learning Recommendation Model 8:14 - Recap Watch more Building recommendation systems with TensorFlow → Subscribe to TensorFlow → product: TensorFlow - TensorFlow Recommenders; fullname: Wei Wei;
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