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NVIDIA AMA: Winning Formula for the Best Multilingual Recommender Systems
To join the live event use the link here.Register for the free NVIDIA Developer Program to participate in this upcoming AMA session.Join this Ask Me Anything (AMA) session to connect with the winning Kaggle Grandmaster team of the Amazon KDD Cup 2023. This annual competition challenged over 450 teams to build a high-performing recommendation system for ecommerce product suggestions with various subtasks and parameters. The winning NVIDIA Merlin™ team leveraged state-of-the-art techniques, including transformer architectures, multilingual transfer learning, co-visitation matrices, and product embedding models. Their innovative two-stage pipeline solution achieved first place across all sub-tasks by effectively generating high-quality item candidates and then re-ranking them using engineered features. Read how they did it here.Presented By:Jean-Francois Puget: Distinguished Engineer, NVIDIAKazuki Onodera: Senior Data Scientist, NVIDIAGilberto Titericz: Senior Data Scientist, NVIDIAChris Deotte: Senior Data Scientist, NVIDIARegister for the free NVIDIA Developer Program to participate in this upcoming AMA session.
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NVIDIA AMA: Winning Formula for the Best Multilingual Recommender Systems
To join the live event use the link here.Register for the free NVIDIA Developer Program to participate in this upcoming AMA session.Join this Ask Me Anything (AMA) session to connect with the winning Kaggle Grandmaster team of the Amazon KDD Cup 2023. This annual competition challenged over 450 teams to build a high-performing recommendation system for ecommerce product suggestions with various subtasks and parameters. The winning NVIDIA Merlin™ team leveraged state-of-the-art techniques, including transformer architectures, multilingual transfer learning, co-visitation matrices, and product embedding models. Their innovative two-stage pipeline solution achieved first place across all sub-tasks by effectively generating high-quality item candidates and then re-ranking them using engineered features. Read how they did it here.Presented By:Jean-Francois Puget: Distinguished Engineer, NVIDIAKazuki Onodera: Senior Data Scientist, NVIDIAGilberto Titericz: Senior Data Scientist, NVIDIAChris Deotte: Senior Data Scientist, NVIDIARegister for the free NVIDIA Developer Program to participate in this upcoming AMA session.
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NVIDIA AMA: Winning Formula for the Best Multilingual Recommender Systems
To join the live event use the link here.Register for the free NVIDIA Developer Program to participate in this upcoming AMA session.Join this Ask Me Anything (AMA) session to connect with the winning Kaggle Grandmaster team of the Amazon KDD Cup 2023. This annual competition challenged over 450 teams to build a high-performing recommendation system for ecommerce product suggestions with various subtasks and parameters. The winning NVIDIA Merlin™ team leveraged state-of-the-art techniques, including transformer architectures, multilingual transfer learning, co-visitation matrices, and product embedding models. Their innovative two-stage pipeline solution achieved first place across all sub-tasks by effectively generating high-quality item candidates and then re-ranking them using engineered features. Read how they did it here.Presented By:Jean-Francois Puget: Distinguished Engineer, NVIDIAKazuki Onodera: Senior Data Scientist, NVIDIAGilberto Titericz: Senior Data Scientist, NVIDIAChris Deotte: Senior Data Scientist, NVIDIARegister for the free NVIDIA Developer Program to participate in this upcoming AMA session.
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- og:descriptionTo join the live event use the link here.Register for the free NVIDIA Developer Program to participate in this upcoming AMA session.Join this Ask Me Anything (AMA) session to connect with the winning Kaggle Grandmaster team of the Amazon KDD Cup 2023. This annual competition challenged over 450 teams to build a high-performing recommendation system for ecommerce product suggestions with various subtasks and parameters. The winning NVIDIA Merlin™ team leveraged state-of-the-art techniques, including transformer architectures, multilingual transfer learning, co-visitation matrices, and product embedding models. Their innovative two-stage pipeline solution achieved first place across all sub-tasks by effectively generating high-quality item candidates and then re-ranking them using engineered features. Read how they did it here.Presented By:Jean-Francois Puget: Distinguished Engineer, NVIDIAKazuki Onodera: Senior Data Scientist, NVIDIAGilberto Titericz: Senior Data Scientist, NVIDIAChris Deotte: Senior Data Scientist, NVIDIARegister for the free NVIDIA Developer Program to participate in this upcoming AMA session.
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- twitter:descriptionTo join the live event use the link here.Register for the free NVIDIA Developer Program to participate in this upcoming AMA session.Join this Ask Me Anything (AMA) session to connect with the winning Kaggle Grandmaster team of the Amazon KDD Cup 2023. This annual competition challenged over 450 teams to build a high-performing recommendation system for ecommerce product suggestions with various subtasks and parameters. The winning NVIDIA Merlin™ team leveraged state-of-the-art techniques, including transformer architectures, multilingual transfer learning, co-visitation matrices, and product embedding models. Their innovative two-stage pipeline solution achieved first place across all sub-tasks by effectively generating high-quality item candidates and then re-ranking them using engineered features. Read how they did it here.Presented By:Jean-Francois Puget: Distinguished Engineer, NVIDIAKazuki Onodera: Senior Data Scientist, NVIDIAGilberto Titericz: Senior Data Scientist, NVIDIAChris Deotte: Senior Data Scientist, NVIDIARegister for the free NVIDIA Developer Program to participate in this upcoming AMA session.
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