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1 Ergebnisse
1
Do Graph Neural Networks Build Fair User Models? Assessing ..:
, In:
Proceedings of the 31st ACM International Conference on Information & Knowledge Management
,
Purificato, Erasmo
;
Boratto, Ludovico
;
De Luca, Ernesto William
- p. 4399-4403 , 2022
Link:
https://dl.acm.org/doi/10.1145/3511808.3557584
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>Do Graph Neural Networks Build Fair User Models? Assessing Disparate Impact and Mistreatment in Behavioural User Profiling</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3557584&Exemplar=1&LAN=DE A1 Purificato, Erasmo A1 Boratto, Ludovico A1 De Luca, Ernesto William PB ACM YR 2022 K1 fairness K1 graph neural networks K1 user models K1 user profiling K1 Human-centered computing K1 Human computer interaction (HCI) K1 HCI design and evaluation methods K1 User models K1 Applied computing K1 Law, social and behavioral sciences K1 Social and professional topics K1 User characteristics SP 4399 OP 4403 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3511808.3557584 DO https://dl.acm.org/doi/10.1145/3511808.3557584 SF ELIB - SuUB Bremen
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