How to Build a Winning Recommendation System, Part 1 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-27T16:00:00Z http://www.open-lab.net/blog/feed/ Carol McDonald <![CDATA[How to Build a Winning Recommendation System, Part 1]]> http://www.open-lab.net/blog/?p=30759 2024-11-22T20:10:03Z 2021-04-26T21:46:31Z Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video...]]> Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video...

Recommender systems (RecSys) have become a key component in many online services, such as e-commerce, social media, news service, or online video streaming. However with their growth in importance, the growth in scale of industry datasets, and more sophisticated models, the bar has been raised for computational resources required for recommendation systems. After NVIDIA introduced Merlin��

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