Meta 推出 GenRecs Tokenization，重构广告推荐系统
GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary
Meta 公开自家广告推荐的生成式改造思路，用稳定词表把广告变成 token 来推理，做推荐系统的朋友可以看看这套设计。
Meta 在官方工程博客介绍 GenRecs Tokenization，这是其生成式推荐系统 GenRecs 的基础数据表示方法。该方案为广告内容构建稳定模型词表，不再对每条广告逐一打分，而是让模型同时推理广告内容与用户偏好来预测最优投放结果。Meta 表示，借助 LLM 内置的世界知识，广告匹配的精准度得到提升，为广告主带来累积收益。
GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary
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. GenRecs Tokenization is the foundational data representation that [...] Read More... The post GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model Vocabulary appeared first on Engineering at Meta .
