Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Cai, Miaomiao, Hou, Min, Chen, Lei, Wu, Le, Bai, Haoyue, Li, Yong, Wang, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)
by: Cai, Miaomiao, et al.
Published: (2024)
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
by: Bai, Haoyue, et al.
Published: (2024)
by: Bai, Haoyue, et al.
Published: (2024)
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
by: Wu, Xi, et al.
Published: (2025)
by: Wu, Xi, et al.
Published: (2025)
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
by: Ou, Yangxun, et al.
Published: (2024)
by: Ou, Yangxun, et al.
Published: (2024)
It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)
by: He, Zhuangzhuang, et al.
Published: (2024)
Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2025)
by: Cai, Miaomiao, et al.
Published: (2025)
Debiased Contrastive Representation Learning for Mitigating Dual Biases in Recommender Systems
by: Huang, Zhirong, et al.
Published: (2024)
by: Huang, Zhirong, et al.
Published: (2024)
Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)
by: Deng, Jianfeng, et al.
Published: (2024)
A Novel Generative Model with Causality Constraint for Mitigating Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2025)
by: Deng, Jianfeng, et al.
Published: (2025)
Graph-Sequential Alignment and Uniformity: Toward Enhanced Recommendation Systems
by: Cao, Yuwei, et al.
Published: (2024)
by: Cao, Yuwei, et al.
Published: (2024)
HSUGA: LLM-Enhanced Recommendation with Hierarchical Semantic Understanding and Group-Aware Alignment
by: Li, Guorui, et al.
Published: (2026)
by: Li, Guorui, et al.
Published: (2026)
Adaptive Fair Representation Learning for Personalized Fairness in Recommendations via Information Alignment
by: Zhu, Xinyu, et al.
Published: (2024)
by: Zhu, Xinyu, et al.
Published: (2024)
RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
Double Correction Framework for Denoising Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)
by: He, Zhuangzhuang, et al.
Published: (2024)
Matryoshka Representation Learning for Recommendation
by: Lai, Riwei, et al.
Published: (2024)
by: Lai, Riwei, et al.
Published: (2024)
Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation
by: Zhao, Xinping, et al.
Published: (2024)
by: Zhao, Xinping, et al.
Published: (2024)
Dynamic Spectral Denoising with Global-Context Attention for Multi-Behavior Recommendation
by: Cai, Miaomiao, et al.
Published: (2026)
by: Cai, Miaomiao, et al.
Published: (2026)
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential Recommendation
by: Chen, Wuhan, et al.
Published: (2025)
by: Chen, Wuhan, et al.
Published: (2025)
An Efficient LLM-based Evolutional Recommendation with Locate-Forget-Update Paradigm
by: Liu, Hao, et al.
Published: (2025)
by: Liu, Hao, et al.
Published: (2025)
Invariance Matters: Empowering Social Recommendation via Graph Invariant Learning
by: Yang, Yonghui, et al.
Published: (2025)
by: Yang, Yonghui, et al.
Published: (2025)
Self-Supervised Representation Learning with ID-Content Modality Alignment for Sequential Recommendation
by: Zhou, Donglin, et al.
Published: (2025)
by: Zhou, Donglin, 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)
Contrastive Representation for Interactive Recommendation
by: Li, Jingyu, et al.
Published: (2024)
by: Li, Jingyu, et al.
Published: (2024)
Intent Representation Learning with Large Language Model for Recommendation
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
The Importance of Cognitive Biases in the Recommendation Ecosystem
by: Schedl, Markus, et al.
Published: (2024)
by: Schedl, Markus, et al.
Published: (2024)
Beyond Instance-Level Alignment and Uniformity: Semantic Factor Learning for Collaborative Filtering
by: Yu, Yajie, et al.
Published: (2026)
by: Yu, Yajie, et al.
Published: (2026)
Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from Transformer
by: Hu, Zheng, et al.
Published: (2023)
by: Hu, Zheng, et al.
Published: (2023)
RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026)
by: Cai, Miaomiao, et al.
Published: (2026)
WeaveRec: An LLM-Based Cross-Domain Sequential Recommendation Framework with Model Merging
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning
by: Yang, Wei, et al.
Published: (2026)
by: Yang, Wei, et al.
Published: (2026)
A Survey on Generative Recommendation: Data, Model, and Tasks
by: Hou, Min, et al.
Published: (2025)
by: Hou, Min, et al.
Published: (2025)
Efficient Multi-task Prompt Tuning for Recommendation
by: Bai, Ting, et al.
Published: (2024)
by: Bai, Ting, et al.
Published: (2024)
From Prompting to Alignment: A Generative Framework for Query Recommendation
by: Min, Erxue, et al.
Published: (2025)
by: Min, Erxue, et al.
Published: (2025)
LLM-Alignment Live-Streaming Recommendation
by: Liu, Yueyang, et al.
Published: (2025)
by: Liu, Yueyang, et al.
Published: (2025)
Generative Representational Learning of Foundation Models for Recommendation
by: Zhou, Zheli, et al.
Published: (2025)
by: Zhou, Zheli, et al.
Published: (2025)
SODA: Semantic-Oriented Distributional Alignment for Generative Recommendation
by: Xue, Ziqi, et al.
Published: (2026)
by: Xue, Ziqi, et al.
Published: (2026)
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
by: Zhao, Zihuai, et al.
Published: (2025)
by: Zhao, Zihuai, et al.
Published: (2025)
Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
by: Qiao, Shutong, et al.
Published: (2024)
by: Qiao, Shutong, et al.
Published: (2024)
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation
by: Zhang, Kangning, et al.
Published: (2024)
by: Zhang, Kangning, et al.
Published: (2024)
Similar Items
-
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024) -
Multimodality Invariant Learning for Multimedia-Based New Item Recommendation
by: Bai, Haoyue, et al.
Published: (2024) -
RAU: Towards Regularized Alignment and Uniformity for Representation Learning in Recommendation
by: Wu, Xi, et al.
Published: (2025) -
Prototypical Contrastive Learning through Alignment and Uniformity for Recommendation
by: Ou, Yangxun, et al.
Published: (2024) -
It is Never Too Late to Mend: Separate Learning for Multimedia Recommendation
by: He, Zhuangzhuang, et al.
Published: (2024)