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PRPOIR: Exploiting the Region-Level Interest for POI Recomm..:
, In:
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)
,
Yuan, Hao
;
Xu, Jian
;
Zheng, Ning
... - p. 59-66 , 2020
Link:
https://doi.org/10.1109/ICTAI50040.2020.00020
RT T1 <cTitle>2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI)</cTitle>: T1 <Title>PRPOIR: Exploiting the Region-Level Interest for POI Recommendation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9288223&Exemplar=1&LAN=DE A1 Yuan, Hao A1 Xu, Jian A1 Zheng, Ning A1 Xu, Ming A1 Li, Wei A1 Shen, Rujia YR 2020 SN 2375-0197 K1 Correlation K1 Conferences K1 Tools K1 Data models K1 Artificial intelligence K1 Context modeling K1 Logistics K1 POI recommendation K1 Logistic Matrix Factorization K1 region-level interest K1 dynamic weight SP 59 OP 66 LK http://dx.doi.org/https://doi.org/10.1109/ICTAI50040.2020.00020 DO https://doi.org/10.1109/ICTAI50040.2020.00020 SF ELIB - SuUB Bremen
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