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HME : A Hyperbolic Metric Embedding Approach for Next-PO..:
, In:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
,
Feng, Shanshan
;
Tran, Lucas Vinh
;
Cong, Gao
... - p. 1429-1438 , 2020
Link:
https://dl.acm.org/doi/10.1145/3397271.3401049
RT T1 <cTitle>Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>HME : A Hyperbolic Metric Embedding Approach for Next-POI Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3401049&Exemplar=1&LAN=DE A1 Feng, Shanshan A1 Tran, Lucas Vinh A1 Cong, Gao A1 Chen, Lisi A1 Li, Jing A1 Li, Fan PB ACM YR 2020 K1 hyperbolic space K1 metric embedding K1 next-poi recommendation K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Information systems K1 Information retrieval K1 Retrieval tasks and goals K1 Recommender systems SP 1429 OP 1438 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3397271.3401049 DO https://dl.acm.org/doi/10.1145/3397271.3401049 SF ELIB - SuUB Bremen
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