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Spatio-Temporal Dual Graph Attention Network for Query-POI ..:

, In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval,

Yuan, Zixuan ; Liu, Hao ; Liu, Yanchi... - p. 629-638 , 2020

Link: https://dl.acm.org/doi/10.1145/3397271.3401159

RT 
T1 <cTitle>Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval</cTitle>: T1 <Title>Spatio-Temporal Dual Graph Attention Network for Query-POI Matching</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3401159&Exemplar=1&LAN=DE
				
A1 Yuan, Zixuan
A1 Liu, Hao
A1 Liu, Yanchi
A1 Zhang, Denghui
A1 Yi, Fei
A1 Zhu, Nengjun
A1 Xiong, Hui
PB ACM
YR 2020
K1 dual graph neural network
K1 query-poi matching
K1 spatio-temporal analysis
K1 user modeling
K1 Information systems
K1 World Wide Web
K1 Web searching and information discovery
K1 Social recommendation
K1 Human-centered computing
K1 Collaborative and social computing
K1 Collaborative and social computing theory, concepts and paradigms
K1 Social networks
K1 Information retrieval
K1 Retrieval tasks and goals
K1 Recommender systems
K1 Evaluation of retrieval results
K1 Relevance assessment
K1 Personalization
K1 Retrieval models and ranking
K1 Learning to rank
SP 629
OP 638
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3397271.3401159
DO https://dl.acm.org/doi/10.1145/3397271.3401159
SF ELIB - SuUB Bremen

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