18 citations · 18 across the 3 of their papers we have counts for
3 papers
Exploring How Fair Model Representations Relate to Fair Recommendations
Bjørnar Vassøy, Benjamin Kille, Helge Langseth
One of the many fairness definitions pursued in recent recommender system research targets mitigating demographic information encoded in model representations. Models optimized for…
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders
Bjørnar Vassøy, Helge Langseth, Benjamin Kille
An emerging definition of fairness in machine learning requires that models are oblivious to demographic user information, e.g., a user's gender or age should not influence the mod…
Diversity in News Recommendations
Abraham Bernstein, Claes de Vreese, Natali Helberger +19
News diversity in the media has for a long time been a foundational and uncontested basis for ensuring that the communicative needs of individuals and society at large are met. Tod…