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On the impact of data sampling on hyper-parameter optimisat..:
, In:
Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing
,
Montanari, Matteo
;
Bernardis, Cesare
;
Cremonesi, Paolo
- p. 1399-1402 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477314.3507158
RT T1 <cTitle>Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>On the impact of data sampling on hyper-parameter optimisation of recommendation algorithms</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3507158&Exemplar=1&LAN=DE A1 Montanari, Matteo A1 Bernardis, Cesare A1 Cremonesi, Paolo PB ACM YR 2022 K1 hyper-parameter K1 optimisation K1 recommender systems K1 sampling K1 Information systems K1 Information systems applications K1 Data mining K1 Collaborative filtering K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 1399 OP 1402 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477314.3507158 DO https://dl.acm.org/doi/10.1145/3477314.3507158 SF ELIB - SuUB Bremen
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