research
∙
08/23/2023
Counterfactual Graph Augmentation for Consumer Unfairness Mitigation in Recommender Systems
In recommendation literature, explainability and fairness are becoming t...
share
research
∙
08/22/2023
(Un)fair Exposure in Deep Face Rankings at a Distance
Law enforcement regularly faces the challenge of ranking suspects from t...
research
∙
04/12/2023
GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning
In recent years, personalization research has been delving into issues o...
research
∙
01/14/2023
Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation
Path reasoning is a notable recommendation approach that models high-ord...
research
∙
12/16/2022
Do Not Trust a Model Because It is Confident: Uncovering and Characterizing Unknown Unknowns to Student Success Predictors in Online-Based Learning
Student success models might be prone to develop weak spots, i.e., examp...
research
∙
09/30/2022
The More Secure, The Less Equally Usable: Gender and Ethnicity (Un)fairness of Deep Face Recognition along Security Thresholds
Face biometrics are playing a key role in making modern smart city appli...
research
∙
09/11/2022
Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality
Numerous Knowledge Graphs (KGs) are being created to make recommender sy...
research
∙
08/23/2022
Explaining Bias in Deep Face Recognition via Image Characteristics
In this paper, we propose a novel explanatory framework aimed to provide...
research
∙
06/23/2022
Experts' View on Challenges and Needs for Fairness in Artificial Intelligence for Education
In recent years, there has been a stimulating discussion on how artifici...
research
∙
04/24/2022
Regulating Group Exposure for Item Providers in Recommendation
Engaging all content providers, including newcomers or minority demograp...
research
∙
04/24/2022
Post Processing Recommender Systems with Knowledge Graphs for Recency, Popularity, and Diversity of Explanations
Existing explainable recommender systems have mainly modeled relationshi...
research
∙
01/21/2022
Consumer Fairness in Recommender Systems: Contextualizing Definitions and Mitigations
Enabling non-discrimination for end-users of recommender systems by intr...
research
∙
04/29/2021
Improving Fairness in Speaker Recognition
The human voice conveys unique characteristics of an individual, making ...
research
∙
06/07/2020
Equality of Learning Opportunity in Personalized Recommendations
Online educational platforms are promising to play a primary role in med...
research
∙
06/07/2020
Interplay between Upsampling and Regularization for Provider Fairness in Recommender Systems
Considering the impact of recommendations on item providers is one of th...
research
∙
06/07/2020
Connecting User and Item Perspectives in Popularity Debiasing for Collaborative Recommendation
Recommender systems learn from historical data that is often non-uniform...
research
∙
03/04/2018
