Engineering9d ago
Exploring Hierarchical Interest Representation For Meta Ads Deep Funnel Optimization
Here is a 2-3 sentence summary of the blog post: Meta Ads is exploring Hierarchical Interest Representation, a research area that learns universal, relational knowledge representations of users and ads entities to improve deep funnel ranking optimization. This approach integrates real-world knowledge, engagement signals, and multi-modal content features to capture users' inferred interests and advertiser offerings, enabling generalization to rare and unseen entities. Through a transformer-based graph learning model, Hierarchical Interest Representation aims to improve deep funnel ads performance by connecting businesses with the population of people who carry genuine, latent interest in what they offer.
SocialScale
1 min