AI
8.0
From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta's Ads Ranking
Meta describes a multi-stage sequence modeling architecture for ads ranking that decouples offline user modeling from online ranking, using dense tokenization and target-aware attention. The approach achieved 6% lift on Instagram conversions, 3% on Facebook conversions, and 3.5% on ad clicks, and underpins Meta's Generative Ads Recommendation Model (GEM).
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