TY  - JOUR 
AU  - Chizari, Nikzad
AU  - Tajfar, Keywan
AU  - Moreno García, María Navelonga
PY  - 2023
UR  - http://hdl.handle.net/10366/166825
AB  - [EN]In today’s technology-driven society, many decisions are made based on the results provided by machine learning algorithms. It is widely known that the models generated by such algorithms may present biases that lead to unfair decisions for some...
LA  - eng
PB  - MDPI
KW  - Recommender systems
KW  - GNN (Graph Neural Networks)
KW  - Bias
KW  - Fairness
KW  - Sensitive features
TI  - Bias Assessment Approaches for Addressing User-Centered Fairness in GNN-Based Recommender Systems
DO  - 10.3390/info14020131
T2  - Information
VL  - 14
M2  - 131
ER  -