# Meta — Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization

- Company: Meta (meta.com)
- Announced: 2026-07-15T17:00:52+00:00
- Category: research-paper
- Subject: Llama / infrastructure
- Models affected: Generative Ads Model (GEM), Andromeda, Adaptive Ranking Model
- Source: https://engineering.fb.com/2026/07/15/ai-research/exploring-hierarchical-interest-representation-for-meta-ads-deep-funnel-optimization/
- Record: https://forck.live/items/1421-exploring-hierarchical-interest-representation-for-meta-ads-deep-funnel

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.

## Evidence

Verbatim from https://engineering.fb.com/2026/07/15/ai-research/exploring-hierarchical-interest-representation-for-meta-ads-deep-funnel-optimization/:

> 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.

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Record: https://forck.live/items/1421-exploring-hierarchical-interest-representation-for-meta-ads-deep-funnel
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