Imagen de Portada

Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ye, Yu, Fu, Junchen, Song, Yu, Zheng, Kaiwen, Jose, Joemon M.
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

CROSSAN: Towards Efficient and Effective Adaptation of Multiple Multimodal Foundation Models for Sequential Recommendation
por: Fu, Junchen, et al.
Publicado: (2025)

Benchmarking Multimodal Large Language Models for Missing Modality Completion in Product Catalogues
por: Fu, Junchen, et al.
Publicado: (2026)

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation
por: Fu, Junchen, et al.
Publicado: (2024)

Differentiable Semantic ID for Generative Recommendation
por: Fu, Junchen, et al.
Publicado: (2026)

IISAN: Efficiently Adapting Multimodal Representation for Sequential Recommendation with Decoupled PEFT
por: Fu, Junchen, et al.
Publicado: (2024)

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
por: Fu, Junchen, et al.
Publicado: (2025)

TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
por: Wang, Jie, et al.
Publicado: (2022)

Modality Reliability Guided Multimodal Recommendation
por: Dong, Xue, et al.
Publicado: (2025)

Large Language Model driven Policy Exploration for Recommender Systems
por: Wang, Jie, et al.
Publicado: (2025)

The 2nd EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval
por: Fu, Junchen, et al.
Publicado: (2026)

Reinforcement Learning-based Recommender Systems with Large Language Models for State Reward and Action Modeling
por: Wang, Jie, et al.
Publicado: (2024)

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation
por: Zheng, Bowen, et al.
Publicado: (2025)

Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
por: Li, Jin, et al.
Publicado: (2025)

NineRec: A Benchmark Dataset Suite for Evaluating Transferable Recommendation
por: Zhang, Jiaqi, et al.
Publicado: (2023)

Relational Deep Dive: Error-Aware Queries Over Unstructured Data
por: Chao, Daren, et al.
Publicado: (2025)

An Efficient Framework for Whole-Page Reranking via Single-Modal Supervision
por: Zhang, Zishuai, et al.
Publicado: (2025)

Beyond One-Size-Fits-All: A Study of Neural and Behavioural Variability Across Different Recommendation Categories
por: Koutroumpas, Georgios, et al.
Publicado: (2025)

TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
por: Xia, Yu, et al.
Publicado: (2025)

Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
por: Ren, Kelin, et al.
Publicado: (2025)

IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation
por: Guo, Ziyuan, et al.
Publicado: (2025)

CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
por: Zhan, Hao, et al.
Publicado: (2026)

Look into the Future: Deep Contextualized Sequential Recommendation
por: Zheng, Lei, et al.
Publicado: (2024)

Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
por: Ye, Yuyang, et al.
Publicado: (2024)

Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
por: Ganhör, Christian, et al.
Publicado: (2025)

R^3AG: First Workshop on Refined and Reliable Retrieval Augmented Generation
por: Wang, Zihan, et al.
Publicado: (2024)

Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation
por: Malitesta, Daniele, et al.
Publicado: (2026)

Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
por: Ma, Hongjian, et al.
Publicado: (2026)

An Empirical Study of Training ID-Agnostic Multi-modal Sequential Recommenders
por: Li, Youhua, et al.
Publicado: (2024)

Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach
por: Malitesta, Daniele, et al.
Publicado: (2024)

Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
por: Malitesta, Daniele, et al.
Publicado: (2024)

Formalizing Multimedia Recommendation through Multimodal Deep Learning
por: Malitesta, Daniele, et al.
Publicado: (2023)

Retrieval Augmented Cross-Modal Tag Recommendation in Software Q&A Sites
por: Lu, Sijin, et al.
Publicado: (2024)

Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy
por: Mo, Feng, et al.
Publicado: (2024)

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration
por: Li, Hongji, et al.
Publicado: (2025)

Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
por: Li, Yuan, et al.
Publicado: (2026)

VLM2Rec: Resolving Modality Collapse in Vision-Language Model Embedders for Multimodal Sequential Recommendation
por: Kim, Junyoung, et al.
Publicado: (2026)

Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering
por: Zhang, Zhongjin, et al.
Publicado: (2025)

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

LIT-GRAPH: Evaluating Deep vs. Shallow Graph Embeddings for High-Quality Text Recommendation in Domain-Specific Knowledge Graphs
por: Gelal, Nirmal, et al.
Publicado: (2026)

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