Feed Ranking: From Batch Inference to Online Inference [Whatnot]

Episode 108 of the Snacks Weekly on Data Science podcast, hosted by Pan Wu, titled "Feed Ranking: From Batch Inference to Online Inference [Whatnot]" was published on October 20, 2025 and runs 7 minutes.

October 20, 2025 ·7m · Snacks Weekly on Data Science

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Summary

In this episode, we explore how Whatnot improved its feed ranking system by moving from batch predictions to online inference—enabling the platform to scale effectively while capturing real-time marketplace dynamics. This evolution reflects a broader shift in recommendation systems toward more adaptive, real-time personalization.For more details, check out the full tech blog from the Whatnot engineering team: https://medium.com/whatnot-engineering/evolving-feed-ranking-at-whatnot-25adb116aeb6

Episode Description

In this episode, we explore how Whatnot improved its feed ranking system by moving from batch predictions to online inference—enabling the platform to scale effectively while capturing real-time marketplace dynamics. This evolution reflects a broader shift in recommendation systems toward more adaptive, real-time personalization.

For more details, check out the full tech blog from the Whatnot engineering team: https://medium.com/whatnot-engineering/evolving-feed-ranking-at-whatnot-25adb116aeb6

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