**摘要**
Generative recommendation is an emerging paradigm that has shown promise in industrial recommendation systems, aiming to predict users' next interactions from their historical behaviors. At the core of generative recommendation lies item tokenization, which bridges item semantics and recommendation models. However, existing methods often struggle to effectively organize and inject complex user-beh
👤 作者: Ruizhong Qiu, Yinglong Xia, Dongqi Fu, Hanqing Zeng, Ren Chen, Xiangjun Fan, Hong Li, Hong Yan, HANGHANG TONG

---
🔗 **[Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation](https://arxiv.org/abs/2606.20554v1)**

> Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
🏷️ 来源: ArXiv cs.AI
⏱️ 2026-06-19 22:01