Recommendations
GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary
Our short summary of Meta’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on engineering.fb.com (opens in a new tab)Problem
Ads struggled to recommend brand‑new products because they had no past click data.
Solution
Created GenRecs Tokenization, turning each ad, product, or page into a short sequence of semantic tokens using LLM embeddings, so the model can reason about unseen items like familiar ones.
Research behind this, on AI Papers DailyUtility-Aware Generative Recommendation: Utility-Enriched Semantic Codes and Utility-Guided Decoding
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on engineering.fb.com (opens in a new tab)