Meta’s hierarchical embeddings lift deep‑funnel ad relevance
Meta unveiled a transformer‑based graph model that learns hierarchical embeddings linking users’ latent interests to billions of advertiser offerings. By distilling sparse engagement signals into multi‑level interest tokens, the system boosts deep‑funnel ad relevance and opens new avenues for personalization across the ads stack.