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From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking

Every day, Meta’s recommendation platforms handle billions of user interactions, generating rich temporal signals that capture individual preferences and intent across products, ads, and content.

By Steven De Gryze, Parshva Doshi, Sean O'Byrne, Arnold Overwijk, Dinesh Ramasamy, Lee XiongMeta Engineering
From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking

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Originally published by Meta Engineering on Aug 5, 2026.

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