Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
通过 Q-Former 将 semantic IDs 转换为 textual IDs
Sequential Recommendation
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
Sparse Meets Dense: Unified Generative Recommendations with Cascaded Sparse-Dense Representations
COBRA, 链接离散编码和稠密表示的尝试
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
LC-Rec, LLM + RQ-VAE + 丰富的多任务训练
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation
TTA, Test-Time Augmentation
Think Before Recommend: Unleashing the Latent Reasoning Power for Sequential Recommendation
ReaRec, 多步序列推荐推理
Unifying Generative and Dense Retrieval for Sequential Recommendation
LIGER, 生成式检索的冷启动缺陷与解决方案
Multimodal Pre-training for Sequential Recommendation via Contrastive Learning
MP4SR, 模态融合之于多模态协同过滤
Recommender Systems with Generative Retrieval
TIGER, 向量量化生成式检索