- Generative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to predict the best outcome for advertisers. Leveraging the world knowledge built into LLMs makes ad matching more intelligent and precise, compounding gains for advertisers.
Official announcementMeta Engineering
GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary
From the official release
- GenRecs Tokenization is the foundational data representation that makes this possible. Rather than maintaining a dedicated ID for every item, GenRecs Tokenization represents each item with a set of tokens from a stable semantic vocabulary.
- Paired with Meta’s Generative Ads Model (GEM) and Meta’s Adaptive Ranking Model, GenRecs Tokenization has delivered a +0.35% lift in conversions across surfaces for advertisers.
This is a short excerpt. Read the full announcement on the official source.
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