The Winner Takes it All: Geographic Imbalance and Provider (Un)fairness in Educational Recommender Systems

Author:

Gómez Elizabeth1,Shui Zhang Carlos1,Boratto Ludovico2,Salamó Maria1,Marras Mirko3

Affiliation:

1. Universitat de Barcelona, Barcelona, Spain

2. University of Cagliari, Cagliari, Italy

3. EPFL, Lausanne, Switzerland

Publisher

ACM

Reference32 articles.

1. Statistical biases in Information Retrieval metrics for recommender systems;Alejandro Bellog'i;Journal,2017

2. Fairness in Recommendation Ranking through Pairwise Comparisons

3. Equity of Attention

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3. Toward a Responsible Fairness Analysis: From Binary to Multiclass and Multigroup Assessment in Graph Neural Network-Based User Modeling Tasks;Minds and Machines;2024-07-17

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5. International Workshop on Algorithmic Bias in Search and Recommendation (BIAS);Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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