Cover Image

From Insight to Intervention: Interpretable Neuron Steering for Controlling Popularity Bias in Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ahmadov, Parviz, Mansoury, Masoud
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Opening the Black Box: Interpretable Remedies for Popularity Bias in Recommender Systems
by: Ahmadov, Parviz, et al.
Published: (2025)

Correcting Popularity Bias in Recommender Systems via Item Loss Equalization
by: Prent, Juno, et al.
Published: (2024)

Mitigating Popularity Bias in Counterfactual Explanations using Large Language Models
by: Hasami, Arjan, et al.
Published: (2025)

Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
by: Huang, Jin, et al.
Published: (2024)

Mitigating Exposure Bias in Online Learning to Rank Recommendation: A Novel Reward Model for Cascading Bandits
by: Mansoury, Masoud, et al.
Published: (2024)

The Unfairness of Multifactorial Bias in Recommendation
by: Mansoury, Masoud, et al.
Published: (2026)

Towards Carbon Footprint-Aware Recommender Systems for Greener Item Recommendation
by: Kalisvaart, Raoul, et al.
Published: (2025)

Effectiveness of LLMs in Temporal User Profiling for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)

Using LLMs to Capture Users' Temporal Context for Recommendation
by: Sabouri, Milad, et al.
Published: (2025)

Temporal User Profiling with LLMs: Balancing Short-Term and Long-Term Preferences for Recommendations
by: Sabouri, Milad, et al.
Published: (2025)

Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity
by: Tan, Shiyin, et al.
Published: (2025)

Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain
by: Kowald, Dominik
Published: (2025)

Exploring the Effect of Context-Awareness and Popularity Calibration on Popularity Bias in POI Recommendations
by: Forster, Andrea, et al.
Published: (2025)

The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
by: Müllner, Peter, et al.
Published: (2024)

On Inherited Popularity Bias in Cold-Start Item Recommendation
by: Meehan, Gregor, et al.
Published: (2025)

Beyond Static Calibration: The Impact of User Preference Dynamics on Calibrated Recommendation
by: Lin, Kun, et al.
Published: (2024)

Towards Explainable Temporal User Profiling with LLMs
by: Sabouri, Milad, et al.
Published: (2025)

A Survey on Popularity Bias in Recommender Systems
by: Klimashevskaia, Anastasiia, et al.
Published: (2023)

A Reproducibility Study of Product-side Fairness in Bundle Recommendation
by: Nguyen, Huy-Son, et al.
Published: (2025)

Identifying and Upweighting Power-Niche Users to Mitigate Popularity Bias in Recommendations
by: Liu, David, et al.
Published: (2025)

From Top-1 to Top-K: A Reproducibility Study and Benchmarking of Counterfactual Explanations for Recommender Systems
by: Nguyen, Quang-Huy, et al.
Published: (2026)

Large Language Models as Recommender Systems: A Study of Popularity Bias
by: Lichtenberg, Jan Malte, et al.
Published: (2024)

Echoes in Filter Bubble: Diagnosing and Curing Popularity Bias in Generative Recommenders
by: Yin, Jun, et al.
Published: (2026)

Bypassing the Popularity Bias: Repurposing Models for Better Long-Tail Recommendation
by: Blahut, Václav, et al.
Published: (2024)

Mitigating Position Bias with Regularization for Recommender Systems
by: Wang, Hao
Published: (2024)

Debiasing Recommendation with Personal Popularity
by: Ning, Wentao, et al.
Published: (2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
by: Lin, Siyi, et al.
Published: (2024)

Exploring Diversity, Novelty, and Popularity Bias in ChatGPT's Recommendations
by: Di Palma, Dario, et al.
Published: (2026)

Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2024)

Graph-Structured Driven Dual Adaptation for Mitigating Popularity Bias
by: Cai, Miaomiao, et al.
Published: (2025)

Enhancing Sequential Music Recommendation with Personalized Popularity Awareness
by: Abbattista, Davide, et al.
Published: (2024)

Reading Between the Lines: A Study of Thematic Bias in Book Recommender Systems
by: Kalra, Nityaa, et al.
Published: (2025)

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)

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)

Measuring Recency Bias In Sequential Recommendation Systems
by: Oh, Jeonglyul, et al.
Published: (2024)

Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering
by: Islam, Md Aminul, et al.
Published: (2025)

Proactive Recommendation in Social Networks: Steering User Interest with Causal Inference
by: Pan, Hang, et al.
Published: (2024)

Disentangling Popularity and Quality: An Edge Classification Approach for Fair Recommendation
by: Gholinejad, Nemat, et al.
Published: (2025)

RaMen: Multi-Strategy Multi-Modal Learning for Bundle Construction
by: Nguyen, Huy-Son, et al.
Published: (2025)

Bias vs Bias -- Dawn of Justice: A Fair Fight in Recommendation Systems
by: Kheya, Tahsin Alamgir, et al.
Published: (2025)