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1 Ergebnisse
1
Identifiability of Cross-Domain Recommendation via Causal S..:
, In:
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Du, Jing
;
Ye, Zesheng
;
Guo, Bin
.. - p. 2091-2101 , 2024
Link:
https://dl.acm.org/doi/10.1145/3626772.3657758
RT T1 <cTitle>Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Identifiability of Cross-Domain Recommendation via Causal Subspace Disentanglement</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3657758&Exemplar=1&LAN=DE A1 Du, Jing A1 Ye, Zesheng A1 Guo, Bin A1 Yu, Zhiwen A1 Yao, Lina PB ACM YR 2024 K1 cross-domain recommendation K1 identifiable joint distribution K1 subspace disentanglement K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 2091 OP 2101 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3626772.3657758 DO https://dl.acm.org/doi/10.1145/3626772.3657758 SF ELIB - SuUB Bremen
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