Feed Ranking: From Batch Inference to Online Inference [W...

What this episode covers

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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How long is this episode of Snacks Weekly on Data Science?

This episode is 7 minutes long.

When was this Snacks Weekly on Data Science episode published?

This episode was published on October 20, 2025.

What is this episode about?

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...

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