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1 Ergebnisse
1
Improving Relevance Modeling via Heterogeneous Behavior Gra..:
, In:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
,
Pang, Bochen
;
Li, Chaozhuo
;
Liu, Yuming
... - p. 3713-3721 , 2022
Link:
https://dl.acm.org/doi/10.1145/3534678.3539128
RT T1
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
: T1
Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads
UL https://suche.suub.uni-bremen.de/peid=acm-3539128&Exemplar=1&LAN=DE A1 Pang, Bochen A1 Li, Chaozhuo A1 Liu, Yuming A1 Lian, Jianxun A1 Zhao, Jianan A1 Sun, Hao A1 Deng, Weiwei A1 Xie, Xing A1 Zhang, Qi PB ACM YR 2022 K1 graph neural network K1 relevance modeling K1 search ads K1 Information systems K1 Information retrieval SP 3713 OP 3721 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539128 DO https://dl.acm.org/doi/10.1145/3534678.3539128 SF ELIB - SuUB Bremen
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