Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs-Reference-Cited by-同舟云学术

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Exploring Temporal and Spatial Features for Next POI Recommendation in LBSNs

Published:2021 Issue: Volume:9 Page:35997-36007
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Li Miao^ORCID,Zheng Wenguang^ORCID,Xiao Yingyuan^ORCID,Zhu Ke^ORCID,Huang Wei

Funder

National Nature Science Foundation of China

Natural Science Foundation of Tianjin, China

Tianjin “Project + Team” Key Training Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9312710/09360823.pdf?arnumber=9360823

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Collaborative trajectory representation for enhanced next POI recommendation;Expert Systems with Applications;2024-12

2. A survey on graph neural network-based next POI recommendation for smart cities;Journal of Reliable Intelligent Environments;2024-07-26

3. Towards Effective Next POI Prediction: Spatial and Semantic Augmentation with Remote Sensing Data;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

4. Encoder-Decoder Based Route Generation Model for Flexible Travel Recommendation;IEEE Transactions on Services Computing;2024-05

5. Location-Based Service Insights: A Comprehensive Review of Data Mining Objects;2024 IEEE International Conference on Artificial Intelligence and Mechatronics Systems (AIMS);2024-02-21

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