Imagen de Portada

Hypercomplex Prompt-aware Multimodal Recommendation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chen, Zheyu, Xu, Jinfeng, Wang, Hewei, Yang, Shuo, Wan, Zitong, Hu, Haibo
Formato:	Preprint
Publicado:	2025
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

VI-MMRec: Similarity-Aware Training Cost-free Virtual User-Item Interactions for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)

MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2024)

Don't Lose Yourself: Boosting Multimodal Recommendation via Reducing Node-neighbor Discrepancy in Graph Convolutional Network
por: Chen, Zheyu, et al.
Publicado: (2024)

NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)

MDVT: Enhancing Multimodal Recommendation with Model-Agnostic Multimodal-Driven Virtual Triplets
por: Xu, Jinfeng, et al.
Publicado: (2025)

Well Begun is Half Done: Training-Free and Model-Agnostic Semantically Guaranteed User Representation Initialization for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2026)

AlignGroup: Learning and Aligning Group Consensus with Member Preferences for Group Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2024)

CAMMSR: Category-Guided Attentive Mixture of Experts for Multimodal Sequential Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2026)

The Best is Yet to Come: Graph Convolution in the Testing Phase for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)

A Survey on Multimodal Recommender Systems: Recent Advances and Future Directions
por: Xu, Jinfeng, et al.
Publicado: (2025)

COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation
por: Xu, Jinfeng, et al.
Publicado: (2025)

Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation
por: Xu, Jinfeng, et al.
Publicado: (2024)

Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering
por: Chen, Zheyu, et al.
Publicado: (2025)

MOSAIC: Multimodal Multistakeholder-aware Visual Art Recommendation
por: Yilma, Bereket A., et al.
Publicado: (2024)

Item Cluster-aware Prompt Learning for Session-based Recommendation
por: Yang, Wooseong, et al.
Publicado: (2024)

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs
por: Huang, Junjie, et al.
Publicado: (2024)

Position-aware Graph Transformer for Recommendation
por: Chen, Jiajia, et al.
Publicado: (2024)

SIGformer: Sign-aware Graph Transformer for Recommendation
por: Chen, Sirui, et al.
Publicado: (2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
por: Tang, Jiakai, et al.
Publicado: (2024)

CEMG: Collaborative-Enhanced Multimodal Generative Recommendation
por: Lin, Yuzhen, et al.
Publicado: (2025)

Automating Personalization: Prompt Optimization for Recommendation Reranking
por: Wang, Chen, et al.
Publicado: (2025)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
por: Ye, Xiaopeng, et al.
Publicado: (2025)

Personalized Prompt for Sequential Recommendation
por: Wu, Yiqing, et al.
Publicado: (2022)

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems
por: Yang, Mingdai, et al.
Publicado: (2025)

MSCRS: Multi-modal Semantic Graph Prompt Learning Framework for Conversational Recommender Systems
por: Wei, Yibiao, et al.
Publicado: (2025)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
por: Huang, Yulei, et al.
Publicado: (2026)

Enhancing Healthcare Recommendation Systems with a Multimodal LLMs-based MOE Architecture
por: Xu, Jingyu, et al.
Publicado: (2024)

On Negative-aware Preference Optimization for Recommendation
por: Ding, Chenlu, et al.
Publicado: (2025)

AlphaFuse: Learn ID Embeddings for Sequential Recommendation in Null Space of Language Embeddings
por: Hu, Guoqing, et al.
Publicado: (2025)

Uncertainty-aware Generative Recommendation
por: Fan, Chenxiao, et al.
Publicado: (2026)

NoteLLM-2: Multimodal Large Representation Models for Recommendation
por: Zhang, Chao, et al.
Publicado: (2024)

Serendipitous Recommendation with Multimodal LLM
por: Wang, Haoting, et al.
Publicado: (2025)

Frequency-aware Adaptive Contrastive Learning for Sequential Recommendation
por: Wang, Zhikai, et al.
Publicado: (2026)

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction
por: Wang, Chen, et al.
Publicado: (2024)

Reinforced Prompt Personalization for Recommendation with Large Language Models
por: Mao, Wenyu, et al.
Publicado: (2024)

Multimodal Recommendation via Self-Corrective Preference Alignmen
por: Guan, Yalong, et al.
Publicado: (2025)

Masked Diffusion Generative Recommendation
por: Mu, Lingyu, et al.
Publicado: (2026)

Beyong Tokens: Item-aware Attention for LLM-based Recommendation
por: Zhang, Xiaokun, et al.
Publicado: (2026)

TriMat: Context-aware Recommendation by Tri-Matrix Factorization
por: Wang, Hao
Publicado: (2025)

FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
por: Liu, Ruochen, et al.
Publicado: (2025)