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librec-auto: A Tool for Recommender Systems Experimentation:

, In: Proceedings of the 30th ACM International Conference on Information & Knowledge Management,

Sonboli, Nasim ; Mansoury, Masoud ; Guo, Ziyue... - p. 4584-4593 , 2021

Link: https://dl.acm.org/doi/10.1145/3459637.3482006

RT 
T1 <cTitle>Proceedings of the 30th ACM International Conference on Information & Knowledge Management</cTitle>: T1 <Title>librec-auto: A Tool for Recommender Systems Experimentation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3482006&Exemplar=1&LAN=DE
				
A1 Sonboli, Nasim
A1 Mansoury, Masoud
A1 Guo, Ziyue
A1 Kadekodi, Shreyas
A1 Liu, Weiwen
A1 Liu, Zijun
A1 Schwartz, Andrew
A1 Burke, Robin
PB ACM
YR 2021
K1 algorithmic fairness
K1 recommender systems
K1 reproducibility
K1 software tools
K1 Information systems
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Evaluation of retrieval results
K1 Relevance assessment
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Collaborative filtering
K1 Social and professional topics
K1 User characteristics
K1 Software and its engineering
K1 Software notations and tools
K1 Software libraries and repositories
SP 4584
OP 4593
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3459637.3482006
DO https://dl.acm.org/doi/10.1145/3459637.3482006
SF ELIB - SuUB Bremen

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