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1 Ergebnisse
1
MeLU : Meta-Learned User Preference Estimator for Cold-S..:
, In:
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining
,
Lee, Hoyeop
;
Im, Jinbae
;
Jang, Seongwon
.. - p. 1073-1082 , 2019
Link:
https://dl.acm.org/doi/10.1145/3292500.3330859
RT T1 <cTitle>Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining</cTitle>: T1 <Title>MeLU : Meta-Learned User Preference Estimator for Cold-Start Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3330859&Exemplar=1&LAN=DE A1 Lee, Hoyeop A1 Im, Jinbae A1 Jang, Seongwon A1 Cho, Hyunsouk A1 Chung, Sehee PB ACM YR 2019 K1 cold-start problem K1 meta-learning K1 recommender systems K1 user preference estimation K1 Information systems K1 World Wide Web K1 Web searching and information discovery K1 Personalization K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 1073 OP 1082 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3292500.3330859 DO https://dl.acm.org/doi/10.1145/3292500.3330859 SF ELIB - SuUB Bremen
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