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Elliot: A Comprehensive and Rigorous Framework for Reproduc..:

, In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval,

Anelli, Vito Walter ; Bellogin, Alejandro ; Ferrara, Antonio... - p. 2405-2414 , 2021

Link: https://dl.acm.org/doi/10.1145/3404835.3463245

RT 
T1 <cTitle>Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3463245&Exemplar=1&LAN=DE
				
A1 Anelli, Vito Walter
A1 Bellogin, Alejandro
A1 Ferrara, Antonio
A1 Malitesta, Daniele
A1 Merra, Felice Antonio
A1 Pomo, Claudio
A1 Donini, Francesco Maria
A1 Di Noia, Tommaso
PB ACM
YR 2021
K1 bias
K1 evaluation
K1 fairness
K1 recommender systems
K1 reproducibility
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Information systems applications
K1 Data mining
K1 Collaborative filtering
K1 Computing methodologies
K1 Machine learning
K1 Learning settings
K1 Learning from implicit feedback
K1 Machine learning approaches
K1 Neural networks
K1 Factorization methods
SP 2405
OP 2414
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3404835.3463245
DO https://dl.acm.org/doi/10.1145/3404835.3463245
SF ELIB - SuUB Bremen

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