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1 Ergebnisse
1
Multitask Ranking System for Immersive Feed and No More Cli..:
, In:
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
,
Liu, Qingyun
;
Zhao, Zhe
;
Liu, Liang
... - p. 4709-4716 , 2023
Link:
https://dl.acm.org/doi/10.1145/3583780.3615489
RT T1 <cTitle>Proceedings of the 32nd ACM International Conference on Information and Knowledge Management</cTitle>: T1 <Title>Multitask Ranking System for Immersive Feed and No More Clicks: A Case Study of Short-Form Video Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3615489&Exemplar=1&LAN=DE A1 Liu, Qingyun A1 Zhao, Zhe A1 Liu, Liang A1 Zhang, Zhen A1 Shan, Junjie A1 Li, Yuening A1 Bi, Shuchao A1 Hong, Lichan A1 Chi, Ed H. PB ACM YR 2023 K1 multi-task learning K1 recommender systems K1 short-form video K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Multi-task learning K1 Retrieval tasks and goals K1 Recommender systems SP 4709 OP 4716 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3583780.3615489 DO https://dl.acm.org/doi/10.1145/3583780.3615489 SF ELIB - SuUB Bremen
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