PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning
Fuente:
arXiv
Saved in:
| Main Authors: | Wei, Wei, Tang, Jiabin, Jiang, Yangqin, Xia, Lianghao, Huang, Chao |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DiffMM: Multi-Modal Diffusion Model for Recommendation
by: Jiang, Yangqin, et al.
Published: (2024)
by: Jiang, Yangqin, et al.
Published: (2024)
RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024)
by: Jiang, Yangqin, et al.
Published: (2024)
RecGPT: A Foundation Model for Sequential Recommendation
by: Jiang, Yangqin, et al.
Published: (2025)
by: Jiang, Yangqin, et al.
Published: (2025)
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
by: Yang, Yuhao, et al.
Published: (2023)
by: Yang, Yuhao, et al.
Published: (2023)
A Comprehensive Survey on Self-Supervised Learning for Recommendation
by: Ren, Xubin, et al.
Published: (2024)
by: Ren, Xubin, et al.
Published: (2024)
Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)
by: Bai, Ting, et al.
Published: (2024)
RecDiff: Diffusion Model for Social Recommendation
by: Li, Zongwei, et al.
Published: (2024)
by: Li, Zongwei, et al.
Published: (2024)
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation
by: Liu, Yuxi, et al.
Published: (2024)
by: Liu, Yuxi, et al.
Published: (2024)
Pre-training for Recommendation Unlearning
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
LightGNN: Simple Graph Neural Network for Recommendation
by: Chen, Guoxuan, et al.
Published: (2025)
by: Chen, Guoxuan, et al.
Published: (2025)
Prompt Tuning for Item Cold-start Recommendation
by: Jiang, Yuezihan, et al.
Published: (2024)
by: Jiang, Yuezihan, et al.
Published: (2024)
SSLRec: A Self-Supervised Learning Framework for Recommendation
by: Ren, Xubin, et al.
Published: (2023)
by: Ren, Xubin, et al.
Published: (2023)
A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Preference-Consistent Knowledge Distillation for Recommender System
by: Zhu, Zhangchi, et al.
Published: (2023)
by: Zhu, Zhangchi, et al.
Published: (2023)
Representation Learning with Large Language Models for Recommendation
by: Ren, Xubin, et al.
Published: (2023)
by: Ren, Xubin, et al.
Published: (2023)
MR.Rec: Synergizing Memory and Reasoning for Personalized Recommendation Assistant with LLMs
by: Huang, Jiani, et al.
Published: (2025)
by: Huang, Jiani, et al.
Published: (2025)
LLMRec: Large Language Models with Graph Augmentation for Recommendation
by: Wei, Wei, et al.
Published: (2023)
by: Wei, Wei, et al.
Published: (2023)
KGBridge: Knowledge-Guided Prompt Learning for Non-overlapping Cross-Domain Recommendation
by: Wang, Yuhan, et al.
Published: (2025)
by: Wang, Yuhan, et al.
Published: (2025)
Graph Augmentation for Recommendation
by: Zhang, Qianru, et al.
Published: (2024)
by: Zhang, Qianru, et al.
Published: (2024)
Joint Behavior-guided and Modality-coherence Conditional Graph Diffusion Denoising for Multi Modal Recommendation
by: Pan, Xiangchen, et al.
Published: (2026)
by: Pan, Xiangchen, et al.
Published: (2026)
MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
by: Wei, Yibiao, et al.
Published: (2025)
by: Wei, Yibiao, et al.
Published: (2025)
Personalized Prompt for Sequential Recommendation
by: Wu, Yiqing, et al.
Published: (2022)
by: Wu, Yiqing, et al.
Published: (2022)
Prompt-based Multi-interest Learning Method for Sequential Recommendation
by: Dong, Xue, et al.
Published: (2024)
by: Dong, Xue, et al.
Published: (2024)
Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
by: Zhu, Zhangchi, et al.
Published: (2025)
by: Zhu, Zhangchi, et al.
Published: (2025)
Can Fairness Be Prompted? Prompt-Based Debiasing Strategies in High-Stakes Recommendations
by: Rotar, Mihaela, et al.
Published: (2026)
by: Rotar, Mihaela, et al.
Published: (2026)
Hypercomplex Prompt-aware Multimodal Recommendation
by: Chen, Zheyu, et al.
Published: (2025)
by: Chen, Zheyu, et al.
Published: (2025)
Knowledge Enhanced Multi-intent Transformer Network for Recommendation
by: Zou, Ding, et al.
Published: (2024)
by: Zou, Ding, et al.
Published: (2024)
Prompt Tuning as User Inherent Profile Inference Machine
by: Lu, Yusheng, et al.
Published: (2024)
by: Lu, Yusheng, et al.
Published: (2024)
NeuroCLIP: Brain-Inspired Prompt Tuning for EEG-to-Image Multimodal Contrastive Learning
by: Wang, Jiyuan, et al.
Published: (2025)
by: Wang, Jiyuan, et al.
Published: (2025)
Spatial-Temporal Knowledge Distillation for Takeaway Recommendation
by: Zhao, Shuyuan, et al.
Published: (2024)
by: Zhao, Shuyuan, et al.
Published: (2024)
MixRec: Heterogeneous Graph Collaborative Filtering
by: Xia, Lianghao, et al.
Published: (2024)
by: Xia, Lianghao, et al.
Published: (2024)
BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
by: Li, Kaiyuan, et al.
Published: (2025)
by: Li, Kaiyuan, et al.
Published: (2025)
Collaborative User Prompt for Personalized Generative Recommendation
by: Ramos, Jerome, et al.
Published: (2024)
by: Ramos, Jerome, et al.
Published: (2024)
Automating Personalization: Prompt Optimization for Recommendation Reranking
by: Wang, Chen, et al.
Published: (2025)
by: Wang, Chen, et al.
Published: (2025)
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
by: Zhang, Peiyan, et al.
Published: (2024)
by: Zhang, Peiyan, et al.
Published: (2024)
Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
by: Liu, Dairui, et al.
Published: (2023)
by: Liu, Dairui, et al.
Published: (2023)
Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)
by: Mao, Wenyu, et al.
Published: (2024)
Hierarchical Interaction Summarization and Contrastive Prompting for Explainable Recommendations
by: Liu, Yibin, et al.
Published: (2025)
by: Liu, Yibin, et al.
Published: (2025)
PairDistill: Pairwise Relevance Distillation for Dense Retrieval
by: Huang, Chao-Wei, et al.
Published: (2024)
by: Huang, Chao-Wei, et al.
Published: (2024)
Similar Items
-
DiffMM: Multi-Modal Diffusion Model for Recommendation
by: Jiang, Yangqin, et al.
Published: (2024) -
RecLM: Recommendation Instruction Tuning
by: Jiang, Yangqin, et al.
Published: (2024) -
RecGPT: A Foundation Model for Sequential Recommendation
by: Jiang, Yangqin, et al.
Published: (2025) -
GraphPro: Graph Pre-training and Prompt Learning for Recommendation
by: Yang, Yuhao, et al.
Published: (2023) -
A Comprehensive Survey on Self-Supervised Learning for Recommendation
by: Ren, Xubin, et al.
Published: (2024)