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Bringing Equity to Coarse and Fine-Grained Provider Groups ..:

, In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization,

Gómez, Elizabeth ; Contreras, David ; Salamo, Maria. - p. 18-23 , 2024

Link: https://dl.acm.org/doi/10.1145/3627043.3659552

RT 
T1 <cTitle>Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization</cTitle>: T1 <Title>Bringing Equity to Coarse and Fine-Grained Provider Groups in Recommender Systems</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3659552&Exemplar=1&LAN=DE
				
A1 Gómez, Elizabeth
A1 Contreras, David
A1 Salamo, Maria
A1 Boratto, Ludovico
PB ACM
YR 2024
K1 Bias
K1 Disparate Impact.
K1 Geographic Groups
K1 Provider Fairness
K1 Recommender systems
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 World Wide Web
K1 Web searching and information discovery
K1 Personalization
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Collaborative filtering
K1 Social recommendation
K1 Information systems applications
K1 Data mining
SP 18
OP 23
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3627043.3659552
DO https://dl.acm.org/doi/10.1145/3627043.3659552
SF ELIB - SuUB Bremen

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