R2MR: Review and Rewrite Modality for Recommendation
修正低质量模态特征以改善多模态协同过滤
KDD
Revisiting Self-attention for Cross-domain Sequential Recommendation
利用多任务/多目标优化学习到更佳的 Attention 分布, 促进跨域推荐
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
通过 Q-Former 将 semantic IDs 转换为 textual IDs
EARN: Efficient Inference Acceleration for LLM-based Generative Recommendation by Register Tokens
通过减小 KV cache size 加速 LLMRec 的推理
All in One: Multi-Task Prompting for Graph Neural Networks
统一 graph/edge/node-level 的 graph prompt