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1 Ergebnisse
1
Practical Design of Performant Recommender Systems using La..:
, In:
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Gupta, Aman
;
Keerthi, S. Sathiya
;
Acharya, Ayan
... - p. 5781-5782 , 2023
Link:
https://dl.acm.org/doi/10.1145/3580305.3599183
RT T1 <cTitle>Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3599183&Exemplar=1&LAN=DE A1 Gupta, Aman A1 Keerthi, S. Sathiya A1 Acharya, Ayan A1 Cheng, Miao A1 Ocejo Elizondo, Borja A1 Ramanath, Rohan A1 Mazumder, Rahul A1 Basu, Kinjal A1 Tay, J. Kenneth A1 Gupta, Rupesh PB ACM YR 2023 K1 linear programming K1 recommender systems K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Theory of computation K1 Design and analysis of algorithms K1 Mathematical optimization K1 Continuous optimization K1 Linear programming SP 5781 OP 5782 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3580305.3599183 DO https://dl.acm.org/doi/10.1145/3580305.3599183 SF ELIB - SuUB Bremen
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