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 → 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;

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