Advances in Bias and Fairness in Information Retrieval : 5th International Workshop, BIAS 2024, Washington, DC, USA, July 18, 2024, Revised Selected Papers
An Offer you Cannot Refuse? Trends in the Coercive Impact of Amazon Book Recommendations.- Retention Induced Biases in a Recommendation System with Heterogeneous Users.- Political Bias of Large Language Models in Few-shot News Summarization.- Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.- Bias Reduction in Social Networks through Agent-Based Simulations.- vivaFemme: Mitigating Gender Bias in Neural Team Recommendation via Female-Advocate Loss Regularization.- Simultaneous Unlearning of Multiple Protected User Attributes From Variational Autoencoder Recommenders Using Adversarial Training.