TLDR Tech / Data
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
Meta compresses its graph of billions of users and advertiser entities into clusters of latent interests, enriches them with LLM-processed ad content, and embeds everything in one shared space where any user or entity can be scored against any other. Learning from broad graph structure instead of only rare conversion events gives the deep funnel a usable signal, and the embeddings feed Meta's ad ranking models like GEM and Andromeda.
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