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1 Ergebnisse
1
Rethinking Sequential Relationships: Improving Sequential R..:
, In:
Companion Proceedings of the ACM Web Conference 2024
,
Jiao, Yang
;
Yang, Fan
;
Chen, Yetian
... - p. 641-645 , 2024
Link:
https://dl.acm.org/doi/10.1145/3589335.3651552
RT T1 <cTitle>Companion Proceedings of the ACM Web Conference 2024</cTitle>: T1 <Title>Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3651552&Exemplar=1&LAN=DE A1 Jiao, Yang A1 Yang, Fan A1 Chen, Yetian A1 Gao, Yan A1 Liu, Jia A1 Sun, Yi PB ACM YR 2024 K1 data augmentation K1 personalization K1 sequential recommendation K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Supervised learning K1 Learning to rank K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 641 OP 645 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3589335.3651552 DO https://dl.acm.org/doi/10.1145/3589335.3651552 SF ELIB - SuUB Bremen
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