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LOAM: Improving Long-tail Session-based Recommendation via ..:
, In:
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Yang, Heeyoon
;
Choi, YunSeok
;
Kim, Gahyung
. - p. 527-536 , 2023
Link:
https://dl.acm.org/doi/10.1145/3539618.3591718
RT T1 <cTitle>Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>LOAM: Improving Long-tail Session-based Recommendation via Niche Walk Augmentation and Tail Session Mixup</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3591718&Exemplar=1&LAN=DE A1 Yang, Heeyoon A1 Choi, YunSeok A1 Kim, Gahyung A1 Lee, Jee-Hyong PB ACM YR 2023 K1 data augmentation K1 long-tail recommendation K1 session-based recommendation K1 Information systems K1 Information retrieval K1 Retrieval models and ranking K1 Novelty in information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 527 OP 536 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3539618.3591718 DO https://dl.acm.org/doi/10.1145/3539618.3591718 SF ELIB - SuUB Bremen
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