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cs.IR2024
Interactive Counterfactual Exploration of Algorithmic Harms in Recommender Systems
Yongsu Ahn, Quinn K Wolter, Jonilyn Dick +2
Recommender systems have become integral to digital experiences, shaping user interactions and preferences across various platforms. Despite their widespread use, these systems oft…
cs.IR2023★ 1 cited
Break Out of a Pigeonhole: A Unified Framework for Examining Miscalibration, Bias, and Stereotype in Recommender Systems
Yongsu Ahn, Yu-Ru Lin
Despite the benefits of personalizing items and information tailored to users' needs, it has been found that recommender systems tend to introduce biases that favor popular items o…