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Netflix has replaced its complex multi-stage recommendation pipeline with GenPage, a single generative AI model that unifies item selection, row construction, and layout generation into one step. By leveraging user history as prompts and applying reinforcement learning for whole-page optimization, the system achieves improved engagement metrics while reducing serving latency compared to traditional architectures.
How Netflix Built GenPage: a Single GenAI Model to Build Personalized Homepages
GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating personalized user homepages. GenPage leverages user history and request context as a prompt to produce the entire page, resulting in improved user engagement and reduced serving latency. By Sergio De Simone
GenPage is a generative AI system developed by Netflix to replace its traditional multi-stage recommendation pipeline by directly generating personalized user homepages. GenPage leverages user history and request context as a prompt to produce the entire page, resulting in improved user engagement and reduced serving latency. Netflix's previous solution relied on "complex, multi-stage pipeline, with separate components for candidate generation and ranking". This process was…
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