Meta· Llama / infrastructureResearch paper

Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization

Meta announces a research area called Hierarchical Interest Representation, an upstream representation layer that learns unified embeddings for ads entities (users, advertisers, products, services) using transformer-based graph learning and multimodal knowledge enrichment to improve deep funnel ad optimization across Meta's recommendation ecosystem, including the Generative Ads Model (GEM), Andromeda, and the Adaptive Ranking Model.

From the source

Hierarchical Interest Representation is a research area for Meta Ads. We’re exploring an upstream representation layer over the universe of Ads entities – users, advertisers, products, services – learning unified embeddings that connect users’ inferred interests with the breadth of what advertisers offer in their deep funnel ads.

engineering.fb.com

Announced