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1
Deployable and Continuable Meta-learning-Based Recommender ..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Guan, Renchu
;
Pang, Haoyu
;
Giunchiglia, Fausto
... - p. 1423-1433 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3531964
RT T1
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
: T1
Deployable and Continuable Meta-learning-Based Recommender System with Fast User-Incremental Updates
UL https://suche.suub.uni-bremen.de/peid=acm-3531964&Exemplar=1&LAN=DE A1 Guan, Renchu A1 Pang, Haoyu A1 Giunchiglia, Fausto A1 Li, Ximing A1 Yang, Xuefeng A1 Feng, Xiaoyue PB ACM YR 2022 K1 cold-start problem K1 incremental training K1 meta-learning K1 recommender system K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Machine learning K1 Information systems applications K1 Data mining SP 1423 OP 1433 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3531964 DO https://dl.acm.org/doi/10.1145/3477495.3531964 SF ELIB - SuUB Bremen
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