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Found 3 papers, 1 papers with code
Fairness in Recommender Systems: Research Landscape and Future Directions
In this survey, we first review the fundamental concepts and notions of fairness that were put forward in the area in the recent past.
A Review of Modern Fashion Recommender Systems
The textile and apparel industries have grown tremendously over the last few years.
Recommender Systems Fairness Evaluation via Generalized Cross Entropy
We present a probabilistic framework based on generalized cross entropy to evaluate fairness of recommender systems under this perspective, where we show that the proposed framework is flexible and explanatory by allowing to incorporate domain knowledge (through an ideal fair distribution) that can help to understand which item or user aspects a recommendation algorithm is over- or under-representing.
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