EGR: Embedding-Native Generative Retrieval with a Shared LLM
EGR is proposed, an Embedding-Native Generative Retrieval framework that uses a single shared LLM to learn item representations from item metadata and user representations from interaction histories in one embedding space, simplifying system design while improving retrieval quality and ad performance.