MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Jinfeng, Chen, Zheyu, Li, Jinze, Yang, Shuo, Wang, Hewei, Li, Yijie, Li, Mengran, Wu, Puzhen, Ngai, Edith C. H. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2024)
by: Xu, Jinfeng, et al.
Published: (2024)
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)
by: Xu, Jinfeng, et al.
Published: (2026)
Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)
by: Xu, Jinfeng, et al.
Published: (2026)
AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
by: Xu, Jinfeng, et al.
Published: (2024)
by: Xu, Jinfeng, et al.
Published: (2024)
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Hypercomplex Prompt-aware Multimodal Recommendation
by: Chen, Zheyu, et al.
Published: (2025)
by: Chen, Zheyu, et al.
Published: (2025)
Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
by: Xu, Jinfeng, et al.
Published: (2024)
by: Xu, Jinfeng, et al.
Published: (2024)
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
by: Chen, Zheyu, et al.
Published: (2024)
by: Chen, Zheyu, et al.
Published: (2024)
Towards Trustworthy Multimodal Recommendation
by: Li, Zixuan
Published: (2026)
by: Li, Zixuan
Published: (2026)
Efficient Model-Agnostic Continual Learning for Next POI Recommendation
by: Wang, Chenhao, et al.
Published: (2025)
by: Wang, Chenhao, et al.
Published: (2025)
Multimodal Difference Learning for Sequential Recommendation
by: Li, Changhong, et al.
Published: (2024)
by: Li, Changhong, et al.
Published: (2024)
CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
by: Lin, Yuzhen, et al.
Published: (2025)
by: Lin, Yuzhen, et al.
Published: (2025)
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)
by: Wang, Haoting, et al.
Published: (2025)
Behavior-Guided Candidate Calibration for Multimodal Recommendation
by: Li, Zesheng, et al.
Published: (2026)
by: Li, Zesheng, et al.
Published: (2026)
Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture
by: Xu, Jingyu, et al.
Published: (2024)
by: Xu, Jingyu, et al.
Published: (2024)
LGMRec: Local and Global Graph Learning for Multimodal Recommendation
by: Guo, Zhiqiang, et al.
Published: (2023)
by: Guo, Zhiqiang, et al.
Published: (2023)
Learning and Editing Universal Graph Prompt Tuning via Reinforcement Learning
by: Xu, Jinfeng, et al.
Published: (2025)
by: Xu, Jinfeng, et al.
Published: (2025)
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)
by: Li, Yuan, et al.
Published: (2026)
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
by: Chen, Zheyu, et al.
Published: (2025)
by: Chen, Zheyu, et al.
Published: (2025)
Causality-Inspired Fair Representation Learning for Multimodal Recommendation
by: Chen, Weixin, et al.
Published: (2023)
by: Chen, Weixin, et al.
Published: (2023)
MMGRec: Multimodal Generative Recommendation with Transformer Model
by: Liu, Han, et al.
Published: (2024)
by: Liu, Han, et al.
Published: (2024)
Enhancing New-item Fairness in Dynamic Recommender Systems
by: Guo, Huizhong, et al.
Published: (2025)
by: Guo, Huizhong, et al.
Published: (2025)
Enhancing Multimodal Recommendations with Vision-Language Models and Information-Aware Fusion
by: Kieu, Hai-Dang, et al.
Published: (2025)
by: Kieu, Hai-Dang, et al.
Published: (2025)
RecCoT: Enhancing Recommendation via Chain-of-Thought
by: Yang, Shuo, et al.
Published: (2025)
by: Yang, Shuo, et al.
Published: (2025)
Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation
by: Wang, Hui, et al.
Published: (2025)
by: Wang, Hui, et al.
Published: (2025)
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
by: Li, Guohao, et al.
Published: (2025)
by: Li, Guohao, et al.
Published: (2025)
Multimodal Fusion And Sparse Attention-based Alignment Model for Long Sequential Recommendation
by: Fu, Yongrui, et al.
Published: (2025)
by: Fu, Yongrui, et al.
Published: (2025)
Propagating Similarity, Mitigating Uncertainty: Similarity Propagation-enhanced Uncertainty for Multimodal Recommendation
by: Wu, Xinzhuo, et al.
Published: (2026)
by: Wu, Xinzhuo, et al.
Published: (2026)
Transparent and Controllable Recommendation Filtering via Multimodal Multi-Agent Collaboration
by: Zhang, Chi, et al.
Published: (2026)
by: Zhang, Chi, et al.
Published: (2026)
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
MLLMRec-R1: Incentivizing Reasoning Capability in Large Language Models for Multimodal Sequential Recommendation
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
NoteLLM-2: Multimodal Large Representation Models for Recommendation
by: Zhang, Chao, et al.
Published: (2024)
by: Zhang, Chao, et al.
Published: (2024)
Gated Multimodal Graph Learning for Personalized Recommendation
by: Liu, Sibei, et al.
Published: (2025)
by: Liu, Sibei, et al.
Published: (2025)
Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)
by: Zhu, Jieming, et al.
Published: (2024)
DMESR: Dual-view MLLM-based Enhancing Framework for Multimodal Sequential Recommendation
by: Huang, Mingyao, et al.
Published: (2026)
by: Huang, Mingyao, et al.
Published: (2026)
Multimodal Recommendation via Self-Corrective Preference Alignmen
by: Guan, Yalong, et al.
Published: (2025)
by: Guan, Yalong, et al.
Published: (2025)
Similar Items
-
MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2024) -
VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025) -
The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2025) -
CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
by: Xu, Jinfeng, et al.
Published: (2026) -
Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
by: Xu, Jinfeng, et al.
Published: (2026)