{"total":34,"rows":[{"id":"2308.01118","title":"A Survey on Popularity Bias in Recommender Systems","created":"2023-08-02","cited_by_count":43,"area":null},{"id":"2305.12090","title":"UP5: Unbiased Foundation Model for Fairness-aware Recommendation","created":"2023-05-20","cited_by_count":38,"area":null},{"id":"2308.11175","title":"MISSRec: Pre-training and Transferring Multi-modal Interest-aware Sequence Representation for Recommendation","created":"2023-08-22","cited_by_count":31,"area":null},{"id":"2205.11127","title":"Fairness in Recommender Systems: Research Landscape and Future Directions","created":"2022-05-23","cited_by_count":30,"area":null},{"id":"2205.13619","title":"Fairness in Recommendation: Foundations, Methods and Applications","created":"2022-05-26","cited_by_count":27,"area":null},{"id":"2406.01285","title":"Large Language Models as Recommender Systems: A Study of Popularity Bias","created":"2024-06-03","cited_by_count":26,"area":null},{"id":"2404.12008","title":"How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective","created":"2024-04-18","cited_by_count":21,"area":null},{"id":"2110.07122","title":"Deconfounded Causal Collaborative Filtering","created":"2021-10-14","cited_by_count":14,"area":null},{"id":"2306.00403","title":"A Survey on Fairness-aware Recommender Systems","created":"2023-06-01","cited_by_count":14,"area":null},{"id":"2110.08353","title":"Revisiting Popularity and Demographic Biases in Recommender Evaluation and Effectiveness","created":"2021-10-15","cited_by_count":12,"area":null},{"id":"2109.03150","title":"Recommendation Fairness: From Static to Dynamic","created":"2021-09-05","cited_by_count":10,"area":null},{"id":"2307.09985","title":"Our Model Achieves Excellent Performance on MovieLens: What Does it Mean?","created":"2023-07-19","cited_by_count":3,"area":null},{"id":"2309.01188","title":"Pre-trained Neural Recommenders: A Transferable Zero-Shot Framework for Recommendation Systems","created":"2023-09-03","cited_by_count":3,"area":null},{"id":"2308.14601","title":"Fairness Through Domain Awareness: Mitigating Popularity Bias For Music Discovery","created":"2023-08-28","cited_by_count":2,"area":null},{"id":"2312.17443","title":"Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems","created":"2023-12-29","cited_by_count":2,"area":null},{"id":"2511.22515","title":"Privacy-Utility-Bias Trade-offs for Privacy-Preserving Recommender Systems","created":"2025-11-27","cited_by_count":2,"area":null},{"id":"2204.03706","title":"Introducing a Framework and a Decision Protocol to Calibrate Recommender Systems","created":"2022-04-07","cited_by_count":1,"area":null},{"id":"2305.15431","title":"Exploring and Exploiting Data Heterogeneity in Recommendation","created":"2023-05-21","cited_by_count":1,"area":null},{"id":"2309.15418","title":"Automatic Feature Fairness in Recommendation via Adversaries","created":"2023-09-27","cited_by_count":1,"area":null},{"id":"2401.12593","title":"MOReGIn: Multi-Objective Recommendation at the Global and Individual Levels","created":"2024-01-23","cited_by_count":1,"area":null},{"id":"2409.06916","title":"Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems","created":"2024-09-10","cited_by_count":1,"area":null},{"id":"2410.01822","title":"The Importance of Causality in Decision Making: A Perspective on Recommender Systems","created":"2024-09-16","cited_by_count":1,"area":null},{"id":"2301.07639","title":"A Comparative Analysis of Bias Amplification in Graph Neural Network Approaches for Recommender Systems","created":"2023-01-18","cited_by_count":0,"area":null},{"id":"2302.02579","title":"Recommender Systems: A Primer","created":"2023-02-06","cited_by_count":0,"area":null},{"id":"2303.00400","title":"A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations","created":"2023-03-01","cited_by_count":0,"area":null},{"id":"2304.12311","title":"ExCalibR: Expected Calibration of Recommendations","created":"2023-04-24","cited_by_count":0,"area":null},{"id":"2305.18333","title":"Ranking with Popularity Bias: User Welfare under Self-Amplification Dynamics","created":"2023-05-24","cited_by_count":0,"area":null},{"id":"2405.11053","title":"The MovieLens Beliefs Dataset: Collecting Pre-Choice Data for Online Recommender Systems","created":"2024-05-17","cited_by_count":0,"area":null},{"id":"2505.14310","title":"Taming Recommendation Bias with Causal Intervention on Evolving Personal Popularity","created":"2025-05-20","cited_by_count":0,"area":null},{"id":"2601.07884","title":"Ideological Isolation in Online Social Networks: A Survey of Computational Definitions, Metrics, and Mitigation Strategies","created":"2026-01-12","cited_by_count":0,"area":null},{"id":"2602.10145","title":"Silence Routing: When Not Speaking Improves Collective Judgment","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.05780","title":"Balancing Domestic and Global Perspectives: Evaluating Dual-Calibration and LLM-Generated Nudges for Diverse News Recommendation","created":"2026-03-06","cited_by_count":0,"area":null},{"id":"2604.01036","title":"Aligning Recommendations with User Popularity Preferences","created":"2026-04-01","cited_by_count":0,"area":null},{"id":"2609.00248","title":"Authority Bias in Conversational Search Engines for Academic Paper Recommendation","created":"2026-08-31","cited_by_count":0,"area":null}],"next_cursor":null}