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1 Ergebnisse
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DDEN: A Heterogeneous Learning-to-Rank Approach with Deep D..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Xiu, Wenchao
;
Wang, Yiran
;
Xue, Taofeng
... - p. 3355-3359 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3536320
RT T1 <cTitle>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>DDEN: A Heterogeneous Learning-to-Rank Approach with Deep Debiasing Experts Network</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3536320&Exemplar=1&LAN=DE A1 Xiu, Wenchao A1 Wang, Yiran A1 Xue, Taofeng A1 Zhang, Kai A1 Zhang, Qin A1 Wu, Zhonghuo A1 Yang, Yifan A1 Zhang, Gong PB ACM YR 2022 K1 adversarial debiasing K1 heterogeneous learning to rank K1 query-auto-completion K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Learning to rank SP 3355 OP 3359 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3536320 DO https://dl.acm.org/doi/10.1145/3477495.3536320 SF ELIB - SuUB Bremen
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