The research presents CP-FairRank, a re-ranking algorithm that integrates fairness constraints from both consumer and producer perspectives. It aims to improve fairness in recommender systems, which are widely used in…
Continue readingThe paper presents a method for explaining text classifiers using counterfactual representations. Counterfactuals are hypothetical events identical to real observations except for one categorical feature. Constructing counterfactuals for texts poses…
Continue readingThe paper titled ‘Fair Canonical Correlation Analysis’ focuses on the issue of fairness and bias in Canonical Correlation Analysis (CCA). The authors present a framework that aims to reduce unfairness…
Continue readingThe article explores the issue of temporal bias in abusive language detection across various languages. This bias can lead to a decrease in the accuracy of detection models, potentially allowing…
Continue readingLooks like you're using an ad blocker. Please support us by disabling these ad blocker.
