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cs.IR2026
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…
cs.IR2023
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…