Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation

Recommending a limited number of Point-of-Interests (POIs) a user will visit next has become increasingly important to both users and POI holders for Location-Based Social Networks (LBSNs). However, POI recommendation is a challenging task since complex sequential patterns and rich contexts are cont...

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Vydáno v:	Data Science and Engineering Ročník 7; číslo 1; s. 44 - 56
Hlavní autoři:	Dai, Shaojie, Yu, Yanwei, Fan, Hao, Dong, Junyu
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Singapore Springer Singapore 01.03.2022 Springer Springer Nature B.V
Témata:	Algorithm Analysis and Problem Complexity Artificial Intelligence Chemistry and Earth Sciences Computer Science Customization Data Mining and Knowledge Discovery Database Management Embedding Learning Location based services Modelling Neural networks Physics Recurrent neural networks Representations Research Papers Social networks Source code Statistics for Engineering Systems and Data Security POI recommendation Location-based social networks Heterogeneous graph Spatio-temporal neural network
ISSN:	2364-1185, 2364-1541
On-line přístup:	Získat plný text
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