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Rethinking Correlation-based Item-Item Similarities for Rec..:
, In:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Hayashi, Katsuhiko
- p. 2287-2291 , 2022
Link:
https://dl.acm.org/doi/10.1145/3477495.3532055
RT T1 <cTitle>Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Rethinking Correlation-based Item-Item Similarities for Recommender Systems</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3532055&Exemplar=1&LAN=DE A1 Hayashi, Katsuhiko PB ACM YR 2022 K1 collaborative filtering K1 correlation K1 item-item similarity K1 recommendation system K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Similarity measures K1 Computing methodologies K1 Machine learning K1 Learning settings K1 Learning from implicit feedback K1 World Wide Web K1 Web searching and information discovery K1 Collaborative filtering SP 2287 OP 2291 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3477495.3532055 DO https://dl.acm.org/doi/10.1145/3477495.3532055 SF ELIB - SuUB Bremen
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