Saved in:
| Main Authors: | Cai, Miaomiao, Chen, Lei, Wang, Yifan, Cheng, Zhiyong, Zhang, Min, Wang, Meng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2503.23358 |
| 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)
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
by: Cai, Miaomiao, et al.
Published: (2025)
by: Cai, Miaomiao, et al.
Published: (2025)
RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026)
by: Cai, Miaomiao, et al.
Published: (2026)
Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
by: Li, Jingzhi, et al.
Published: (2026)
by: Li, Jingzhi, et al.
Published: (2026)
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)
by: Cheng, Zhiyong, et al.
Published: (2024)
Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
by: Liu, David, et al.
Published: (2025)
by: Liu, David, et al.
Published: (2025)
Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
by: Hasami, Arjan, et al.
Published: (2025)
by: Hasami, Arjan, et al.
Published: (2025)
Popular News Always Compete for the User's Attention! POPK: Mitigating Popularity Bias via a Temporal-Counterfactual
by: Azevedo, Igor L. R., et al.
Published: (2024)
by: Azevedo, Igor L. R., et al.
Published: (2024)
I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
by: Chen, Huilin, et al.
Published: (2025)
by: Chen, Huilin, et al.
Published: (2025)
Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction
by: Zhao, Yao, et al.
Published: (2024)
by: Zhao, Yao, 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)
Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering
by: Islam, Md Aminul, et al.
Published: (2026)
by: Islam, Md Aminul, et al.
Published: (2026)
Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering
by: Islam, Md Aminul, et al.
Published: (2025)
by: Islam, Md Aminul, et al.
Published: (2025)
Bridging Semantic Understanding and Popularity Bias with LLMs
by: Luo, Renqiang, et al.
Published: (2026)
by: Luo, Renqiang, et al.
Published: (2026)
Mitigating Position Bias with Regularization for Recommender Systems
by: Wang, Hao
Published: (2024)
by: Wang, Hao
Published: (2024)
GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
by: Cheng, Xinghe, et al.
Published: (2025)
by: Cheng, Xinghe, et al.
Published: (2025)
Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders
by: Wang, Bohao, et al.
Published: (2025)
by: Wang, Bohao, et al.
Published: (2025)
Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
by: Forster, Andrea, et al.
Published: (2025)
by: Forster, Andrea, et al.
Published: (2025)
Latent Factor Modeling with Expert Network for Multi-Behavior Recommendation
by: Yan, Mingshi, et al.
Published: (2026)
by: Yan, Mingshi, et al.
Published: (2026)
Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)
by: Yin, Jun, et al.
Published: (2026)
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
by: Wang, Chengbing, et al.
Published: (2024)
by: Wang, Chengbing, et al.
Published: (2024)
Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
by: Huang, Jin, et al.
Published: (2024)
by: Huang, Jin, et al.
Published: (2024)
On Inherited Popularity Bias in Cold-Start Item Recommendation
by: Meehan, Gregor, et al.
Published: (2025)
by: Meehan, Gregor, et al.
Published: (2025)
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)
Cross-Modal Prototype Augmentation and Dual-Grained Prompt Learning for Social Media Popularity Prediction
by: Zhou, Ao, et al.
Published: (2025)
by: Zhou, Ao, et al.
Published: (2025)
Rethinking Popularity Bias in Collaborative Filtering via Analytical Vector Decomposition
by: Liu, Lingfeng, et al.
Published: (2025)
by: Liu, Lingfeng, et al.
Published: (2025)
Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
by: Tan, Shiyin, et al.
Published: (2025)
by: Tan, Shiyin, et al.
Published: (2025)
Mitigating Dual Latent Confounding Biases in Recommender Systems
by: Deng, Jianfeng, et al.
Published: (2024)
by: Deng, Jianfeng, et al.
Published: (2024)
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
by: Lin, Siyi, et al.
Published: (2024)
by: Lin, Siyi, et al.
Published: (2024)
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain
by: Kowald, Dominik
Published: (2025)
by: Kowald, Dominik
Published: (2025)
Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems
by: Ahmadov, Parviz, et al.
Published: (2025)
by: Ahmadov, Parviz, et al.
Published: (2025)
Correcting Popularity Bias in Recommender Systems via Item Loss Equalization
by: Prent, Juno, et al.
Published: (2024)
by: Prent, Juno, et al.
Published: (2024)
Mitigating Propensity Bias of Large Language Models for Recommender Systems
by: Zhang, Guixian, et al.
Published: (2024)
by: Zhang, Guixian, et al.
Published: (2024)
Reducing Popularity Influence by Addressing Position Bias
by: Dzhoha, Andrii, et al.
Published: (2024)
by: Dzhoha, Andrii, 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)
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation
by: Wang, Xiaochen, et al.
Published: (2023)
by: Wang, Xiaochen, et al.
Published: (2023)
From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems
by: Ahmadov, Parviz, et al.
Published: (2026)
by: Ahmadov, Parviz, et al.
Published: (2026)
Data, Not Model: Explaining Bias toward LLM Texts in Neural Retrievers
by: Huang, Wei, et al.
Published: (2026)
by: Huang, Wei, et al.
Published: (2026)
The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
by: Krause, Thorsten, et al.
Published: (2024)
by: Krause, Thorsten, et al.
Published: (2024)
Algorithm Adaptation Bias in Recommendation System Online Experiments
by: Zheng, Chen, et al.
Published: (2025)
by: Zheng, Chen, et al.
Published: (2025)
Similar Items
-
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024) -
Mitigating Recommendation Biases via Group-Alignment and Global-Uniformity in Representation Learning
by: Cai, Miaomiao, et al.
Published: (2025) -
RMBRec: Robust Multi-Behavior Recommendation towards Target Behaviors
by: Cai, Miaomiao, et al.
Published: (2026) -
Post-hoc Provider Fairness Adaptation via Hierarchical Exposure Alignment
by: Li, Jingzhi, et al.
Published: (2026) -
Disentangled Cascaded Graph Convolution Networks for Multi-Behavior Recommendation
by: Cheng, Zhiyong, et al.
Published: (2024)