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In this episode, we explore how Pinterest rethought its ads serving infrastructure to support more expressive ranking models beyond the traditional two-tower architecture. Their solution was not simply to build a better model, but to redesign the serving stack so that ranking logic and model inference work more closely together, allowing lightweight ranking models to capture richer signals while operating efficiently at massive scale.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/pinterest-engineering/beyond-two-towers-re-architecting-the-serving-stack-for-next-gen-ads-lightweight-ranking-models-1992f2b76cbb
By Pan Wu5
99 ratings
In this episode, we explore how Pinterest rethought its ads serving infrastructure to support more expressive ranking models beyond the traditional two-tower architecture. Their solution was not simply to build a better model, but to redesign the serving stack so that ranking logic and model inference work more closely together, allowing lightweight ranking models to capture richer signals while operating efficiently at massive scale.
For more details, you can refer to their published tech blog, linked here for your reference: https://medium.com/pinterest-engineering/beyond-two-towers-re-architecting-the-serving-stack-for-next-gen-ads-lightweight-ranking-models-1992f2b76cbb

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