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Persia: An Open, Hybrid System Scaling Deep Learning-based ..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,

Lian, Xiangru ; Yuan, Binhang ; Zhu, Xuefeng... - p. 3288-3298 , 2022

Link: https://dl.acm.org/doi/10.1145/3534678.3539070

RT 
T1 <cTitle>Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining</cTitle>: T1 <Title>Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3539070&Exemplar=1&LAN=DE
				
A1 Lian, Xiangru
A1 Yuan, Binhang
A1 Zhu, Xuefeng
A1 Wang, Yulong
A1 He, Yongjun
A1 Wu, Honghuan
A1 Sun, Lei
A1 Lyu, Haodong
A1 Liu, Chengjun
A1 Dong, Xing
A1 Liao, Yiqiao
A1 Luo, Mingnan
A1 Zhang, Congfei
A1 Xie, Jingru
A1 Li, Haonan
A1 Chen, Lei
A1 Huang, Renjie
A1 Lin, Jianying
A1 Shu, Chengchun
A1 Qiu, Xuezhong
A1 Liu, Zhishan
A1 Kong, Dongying
A1 Yuan, Lei
A1 Yu, Hai
A1 Yang, Sen
A1 Zhang, Ce
A1 Liu, Ji
PB ACM
YR 2022
K1 Recommendation system
K1 Information systems
K1 Information systems applications
K1 Computational advertising
SP 3288
OP 3298
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3534678.3539070
DO https://dl.acm.org/doi/10.1145/3534678.3539070
SF ELIB - SuUB Bremen

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