Learning Graph-based POI Embedding for Location-based Recommendation

Author:

Xie Min1,Yin Hongzhi2,Wang Hao1,Xu Fanjiang1,Chen Weitong2,Wang Sen3

Affiliation:

1. State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences, China, Beijing, China

2. The University of Queensland, School of Information Technology and Electrical Engineering, Brisbane, Australia

3. School of Information and Communication Technology, Griffith University, Gold Coast, Australia

Funder

Natural Science Foundation of China

Jiangsu Natural Science Foundation of China

Australian Research Council

the Development Plan of Outstanding Young Talent from Institute of Software, Chinese Academy of Sciences

National Basic Research Program of China

Publisher

ACM

Reference29 articles.

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1. Heterogeneous Spatio-Temporal Graph Contrastive Learning for Point-of-Interest Recommendation;Tsinghua Science and Technology;2025-02

2. Content-Aware Few-Shot Meta-Learning for Cold-Start Recommendation on Portable Sensing Devices;Sensors;2024-08-26

3. Relevance Meets Diversity: A User-Centric Framework for Knowledge Exploration Through Recommendations;Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2024-08-24

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

5. Disentangled Contrastive Hypergraph Learning for Next POI Recommendation;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

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