L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation 事件

L2Rec: Towards Dual-View Understanding of LLMs for Personalized Recommendation arXiv:2605.26717v1 Announce Type: cross Abstract: Adapting large language models (LLMs) for personalized recommendation requires aligning their general-purpose capabilities with user-specific preferences while effectively leveraging both behavioral and semantic signals. Existing approaches typically integrate these signals at either the input level (e.g., injecting behavioral embeddings into the token space) or the o