Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Recommender Systems and Users' Behaviour Effect on Choice's Distribution and Quality
Sequential Nature of Recommender Systems Disrupts the Evaluation Process
Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures
A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-box Systems: A Case Study with COVID-related Searches
The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation
The Unfairness of Popularity Bias in Book Recommendation
Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches
Analysis of Biases in Calibrated Recommendations
Do Perceived Gender Biases in Retrieval Results affect Users Relevance Judgements?
Enhancing Fairness in Classification Tasks with Multiple Variables: a Data- and Model-Agnostic Approach
Keyword Recommendation for Fair Search
FARGO: a Fair, context-AwaRe, Group recOmmender system.