Single-Branch Network Architectures to Close the Modality Gap in Multimodal Recommendation
Fuente:
arXiv
Saved in:
| Main Authors: | Ganhör, Christian, Moscati, Marta, Hausberger, Anna, Nawaz, Shah, Schedl, Markus |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
by: Ganhör, Christian, et al.
Published: (2024)
by: Ganhör, Christian, et al.
Published: (2024)
Parameter-Efficient Single Collaborative Branch for Recommendation
by: Moscati, Marta, et al.
Published: (2025)
by: Moscati, Marta, et al.
Published: (2025)
Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks
by: Geiger, Jonas, et al.
Published: (2025)
by: Geiger, Jonas, et al.
Published: (2025)
Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
by: Li, Zihan, et al.
Published: (2026)
by: Li, Zihan, et al.
Published: (2026)
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
by: Peintner, Andreas, et al.
Published: (2025)
by: Peintner, Andreas, et al.
Published: (2025)
Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training
by: Escobedo, Gustavo, et al.
Published: (2024)
by: Escobedo, Gustavo, et al.
Published: (2024)
Familiarizing with Music: Discovery Patterns for Different Music Discovery Needs
by: Moscati, Marta, et al.
Published: (2025)
by: Moscati, Marta, et al.
Published: (2025)
Making Alice Appear Like Bob: A Probabilistic Preference Obfuscation Method For Implicit Feedback Recommendation Models
by: Escobedo, Gustavo, et al.
Published: (2024)
by: Escobedo, Gustavo, et al.
Published: (2024)
Just Ask for Music (JAM): Multimodal and Personalized Natural Language Music Recommendation
by: Melchiorre, Alessandro B., et al.
Published: (2025)
by: Melchiorre, Alessandro B., et al.
Published: (2025)
Utilizing Human Memory Processes to Model Genre Preferences for Personalized Music Recommendations
by: Kowald, Dominik, et al.
Published: (2020)
by: Kowald, Dominik, et al.
Published: (2020)
The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
by: Müllner, Peter, et al.
Published: (2024)
by: Müllner, Peter, et al.
Published: (2024)
Hybrid Personalization Using Declarative and Procedural Memory Modules of the Cognitive Architecture ACT-R
by: Innerebner, Kevin, et al.
Published: (2025)
by: Innerebner, Kevin, et al.
Published: (2025)
Oh, Behave! Country Representation Dynamics Created by Feedback Loops in Music Recommender Systems
by: Lesota, Oleg, et al.
Published: (2024)
by: Lesota, Oleg, et al.
Published: (2024)
Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations
by: Müllner, Peter, et al.
Published: (2026)
by: Müllner, Peter, et al.
Published: (2026)
The Importance of Cognitive Biases in the Recommendation Ecosystem
by: Schedl, Markus, et al.
Published: (2024)
by: Schedl, Markus, et al.
Published: (2024)
Modality Reliability Guided Multimodal Recommendation
by: Dong, Xue, et al.
Published: (2025)
by: Dong, Xue, et al.
Published: (2025)
Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation
by: Epure, Elena V., et al.
Published: (2025)
by: Epure, Elena V., et al.
Published: (2025)
Spectrum-based Modality Representation Fusion Graph Convolutional Network for Multimodal Recommendation
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
by: Ong, Rongqing Kenneth, et al.
Published: (2024)
Modality Alignment with Multi-scale Bilateral Attention for Multimodal Recommendation
by: Ren, Kelin, et al.
Published: (2025)
by: Ren, Kelin, et al.
Published: (2025)
Cross-Modal Attention Network with Dual Graph Learning in Multimodal Recommendation
by: Dai, Ji, et al.
Published: (2026)
by: Dai, Ji, et al.
Published: (2026)
Training-free Graph-based Imputation of Missing Modalities in Multimodal Recommendation
by: Malitesta, Daniele, et al.
Published: (2026)
by: Malitesta, Daniele, et al.
Published: (2026)
Generating with Fairness: A Modality-Diffused Counterfactual Framework for Incomplete Multimodal Recommendations
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach
by: Malitesta, Daniele, et al.
Published: (2024)
by: Malitesta, Daniele, et al.
Published: (2024)
Do We Really Need to Drop Items with Missing Modalities in Multimodal Recommendation?
by: Malitesta, Daniele, et al.
Published: (2024)
by: Malitesta, Daniele, et al.
Published: (2024)
Multimodal Graph Neural Network for Recommendation with Dynamic De-redundancy and Modality-Guided Feature De-noisy
by: Mo, Feng, et al.
Published: (2024)
by: Mo, Feng, et al.
Published: (2024)
Support the Underground: Characteristics of Beyond-Mainstream Music Listeners
by: Kowald, Dominik, et al.
Published: (2021)
by: Kowald, Dominik, et al.
Published: (2021)
Robust Multimodal Recommendation via Graph Retrieval-Enhanced Modality Completion
by: Li, Yuan, et al.
Published: (2026)
by: Li, Yuan, et al.
Published: (2026)
Bridging Domain Gaps between Pretrained Multimodal Models and Recommendations
by: Zhang, Wenyu, et al.
Published: (2025)
by: Zhang, Wenyu, et al.
Published: (2025)
Are Multimodal Embeddings Truly Beneficial for Recommendation? A Deep Dive into Whole vs. Individual Modalities
by: Ye, Yu, et al.
Published: (2025)
by: Ye, Yu, et al.
Published: (2025)
CLEAR: Null-Space Projection for Cross-Modal De-Redundancy in Multimodal Recommendation
by: Zhan, Hao, et al.
Published: (2026)
by: Zhan, Hao, et al.
Published: (2026)
SynerGraph: An Integrated Graph Convolution Network for Multimodal Recommendation
by: Burabak, Mert, et al.
Published: (2024)
by: Burabak, Mert, et al.
Published: (2024)
H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
by: Elchafei, Passant, et al.
Published: (2026)
by: Elchafei, Passant, et al.
Published: (2026)
Modality-Aware Identity Construction and Counterfactual Structure Learning for ID-Free Multimodal Recommendation
by: Ma, Hongjian, et al.
Published: (2026)
by: Ma, Hongjian, 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)
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation
by: Lin, Guojiao, et al.
Published: (2024)
by: Lin, Guojiao, et al.
Published: (2024)
Generating Negative Samples for Multi-Modal Recommendation
by: Ji, Yanbiao, et al.
Published: (2025)
by: Ji, Yanbiao, et al.
Published: (2025)
Serendipitous Recommendation with Multimodal LLM
by: Wang, Haoting, et al.
Published: (2025)
by: Wang, Haoting, et al.
Published: (2025)
Towards Trustworthy Multimodal Recommendation
by: Li, Zixuan
Published: (2026)
by: Li, Zixuan
Published: (2026)
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)
FLAME: Condensing Ensemble Diversity into a Single Network for Efficient Sequential Recommendation
by: Kim, WooJoo, et al.
Published: (2026)
by: Kim, WooJoo, et al.
Published: (2026)
Similar Items
-
A Multimodal Single-Branch Embedding Network for Recommendation in Cold-Start and Missing Modality Scenarios
by: Ganhör, Christian, et al.
Published: (2024) -
Parameter-Efficient Single Collaborative Branch for Recommendation
by: Moscati, Marta, et al.
Published: (2025) -
Music4All A+A: A Multimodal Dataset for Music Information Retrieval Tasks
by: Geiger, Jonas, et al.
Published: (2025) -
Adaptive Autoguidance for Item-Side Fairness in Diffusion Recommender Systems
by: Li, Zihan, et al.
Published: (2026) -
Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
by: Peintner, Andreas, et al.
Published: (2025)