Personalized Recommendation with Foundation Models [Netflix]
Episode 104 of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Personalized Recommendation with Foundation Models [Netflix]" was published on September 22, 2025 and runs 11 minutes.
September 22, 2025 ·11m · Snacks Weekly on Data Science
Summary
In this episode, we explore how Netflix enhanced recommendation personalization using foundation models. These models can process massive user histories through tokenization and attention mechanisms, while also addressing the cold-start problem with hybrid embeddings. The work highlights how principles from large language models can be adapted to build more effective recommendation systems at scale.For more details, you can refer to their published tech blog, linked here for your reference: https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39
Episode Description
In this episode, we explore how Netflix enhanced recommendation personalization using foundation models. These models can process massive user histories through tokenization and attention mechanisms, while also addressing the cold-start problem with hybrid embeddings. The work highlights how principles from large language models can be adapted to build more effective recommendation systems at scale.
For more details, you can refer to their published tech blog, linked here for your reference: https://netflixtechblog.com/foundation-model-for-personalized-recommendation-1a0bd8e02d39
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