Meta published a whitepaper this week introducing its Adaptive Ranking Model, a request-centric ad ranking architecture that enables LLM-scale user modeling by decoupling user representation computation from candidate scoring while adhering to millisecond-level latency standards. The core innovation of the architecture is that it is request-centric and not candidate-centric: the canonical, deep learning approach to […]
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