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1 Ergebnisse
1
Identifying Controversial Pairs in Item-to-Item Recommendat..:
, In:
Proceedings of the 17th ACM Conference on Recommender Systems
,
Shen, Junyi
;
V. R. Oliveira, Dayvid
;
Cao, Jin
... - p. 671-674 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604915.3608871
RT T1 <cTitle>Proceedings of the 17th ACM Conference on Recommender Systems</cTitle>: T1 <Title>Identifying Controversial Pairs in Item-to-Item Recommendations</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3608871&Exemplar=1&LAN=DE A1 Shen, Junyi A1 V. R. Oliveira, Dayvid A1 Cao, Jin A1 Knott, Brian A1 Gu, Goodman A1 Vijaya Raghavan, Sindhu A1 Jin, Yunye A1 Sudan, Nikita A1 Monarch, Rob PB ACM YR 2023 K1 active machine learning K1 item-to-item recommendation K1 neural networks K1 recommendation systems K1 Information systems K1 Information systems applications K1 Information retrieval K1 Computing methodologies K1 Machine learning K1 Data mining K1 Retrieval tasks and goals K1 Document filtering K1 Recommender systems K1 Information extraction SP 671 OP 674 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604915.3608871 DO https://dl.acm.org/doi/10.1145/3604915.3608871 SF ELIB - SuUB Bremen
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