Uploaded March 2022 | Updated September 2026, 1 week ago

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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 → https://goo.gle/3N2REoe

Listwise ranking using TF Recommenders and TF ranking → https://goo.gle/3IfXTRL

Position-aware ListMLE: A Sequential Learning Process → https://goo.gle/3JnzdYT

Normalized Discounted Cumulative Gain (NDCG) → https://goo.gle/3N9HxxU

Deep Learning Recommendation Model (DLRM)→ https://goo.gle/3tgwESX


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 → https://goo.gle/3Bi8NUS
Subscribe to TensorFlow → https://goo.gle/TensorFlow


product: TensorFlow - TensorFlow Recommenders; fullname: Wei Wei;