Скачать с ютуб Building a listwise ranking model with TF Recommenders and TF Ranking в хорошем качестве

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;