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1 Ergebnisse
1
Context-based Fast Recommendation Strategy for Long User Be..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Feng, Zhichao
;
Xie, JunJie
;
Li, Kaiyuan
... - p. 355-363 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3648334
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Context-based Fast Recommendation Strategy for Long User Behavior Sequence in Meituan Waimai</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3648334&Exemplar=1&LAN=DE A1 Feng, Zhichao A1 Xie, JunJie A1 Li, Kaiyuan A1 Qin, Yu A1 Wang, Pengfei A1 Li, Qianzhong A1 Yin, Bin A1 Li, Xiang A1 Lin, Wei A1 Wang, Shangguang PB ACM YR 2024 K1 click-through rate prediction K1 long sequential user behavior data K1 user preference modeling K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 355 OP 363 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3648334 DO https://dl.acm.org/doi/10.1145/3589335.3648334 SF ELIB - SuUB Bremen
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