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Can We Trust Recommender System Fairness Evaluation? The Role of Fairness and Relevance
We find that most of these measures: i) correlate weakly with one another and even contradict each other at times; ii) are less sensitive to rank position changes than relevance- and fairness-only measures, meaning that they are less granular than traditional RS measures; and iii) tend to compress scores at the low end of their range, meaning that they are not very expressive.
Evaluation Measures of Individual Item Fairness for Recommender Systems: A Critical Study
To our knowledge, this is the first critical comparison of individual item fairness measures in recommender systems.
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