2 papers
cs.IR2026
OptST: Optimizing Semantic Tokenization for LLM-Enhanced Recommendation
Hanchong Chen, Jie Liu, Fuyuan Lyu +4
Semantic information can enrich the identifiers and structured fields used by recommender systems. Semantic tokenization provides a structured representation of this information by…
cs.IR2026
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
Agentic recommender systems ground each decision of a large language model (LLM) in a persistent memory of the user, and in existing agents that memory is text: a narrative written…