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Semi-supervised Trajectory Understanding with POI Attention..:

Zhou, Fan ; Wu, Hantao ; Trajcevski, Goce..
ACM Transactions on Spatial Algorithms and Systems (TSAS). 6 (2020) 2 - p. 1-25 , 2020

Link: https://dl.acm.org/doi/10.1145/3378890

RT Journal
T1 <Title>Semi-supervised Trajectory Understanding with POI Attention for End-to-End Trip Recommendation</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3378890&Exemplar=1&LAN=DE
				
A1 Zhou, Fan
A1 Wu, Hantao
A1 Trajcevski, Goce
A1 Khokhar, Ashfaq
A1 Zhang, Kunpeng
PB ACM
YR 2020
SN 2374-0353
SN 2374-0361
K1 Trip recommendation
K1 attention mechanism
K1 encoder-decoder
K1 recurrent neural networks
K1 semi-supervised learning
K1 Information systems
K1 Information systems applications
K1 Spatial-temporal systems
K1 Location based services
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Computer systems organization
K1 Architectures
K1 Other architectures
K1 Neural networks
K1 Data management systems
K1 Database design and models
K1 Data model extensions
K1 Temporal data
JF ACM Transactions on Spatial Algorithms and Systems (TSAS)
VO 6
IS 2
SP 1
OP 25
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3378890
DO https://dl.acm.org/doi/10.1145/3378890
SF ELIB - SuUB Bremen

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