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1 Ergebnisse
1
Uncovering User Interest from Biased and Noised Watch Time ..:
, In:
Proceedings of the 17th ACM Conference on Recommender Systems
,
Zhao, Haiyuan
;
Zhang, Lei
;
Xu, Jun
... - p. 528-539 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604915.3608797
RT T1 <cTitle>Proceedings of the 17th ACM Conference on Recommender Systems</cTitle>: T1 <Title>Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3608797&Exemplar=1&LAN=DE A1 Zhao, Haiyuan A1 Zhang, Lei A1 Xu, Jun A1 Cai, Guohao A1 Dong, Zhenhua A1 Wen, Ji-Rong PB ACM YR 2023 K1 duration bias K1 noisy watching K1 video recommendation K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 528 OP 539 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604915.3608797 DO https://dl.acm.org/doi/10.1145/3604915.3608797 SF ELIB - SuUB Bremen
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