A top-k POI recommendation approach based on LBSN and multi-graph fusion

Author:

Fang Jinfeng,Meng Xiangfu,Qi Xueyue

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference44 articles.

1. Exploiting location-based context for POI recommendation when traveling to a new region;Gao;IEEE Access,2020

2. A POI recommendation approach based on User-POI coupling relationships;Meng;CAAI Trans. Intelligent Syst.,2020

3. M. Defferrard, X. Bresson, P. Vandergheynst, Convolutional neural networks on graphs with fast localized spectral filtering, in: Proceedings of Neural Information Processing Systems, 2016, pp. 3837-3845.

4. W. Hamilton, A.T. Ying, J. Leskovec, Inductive representation learning on large graphs, in: Proceedings of Neural Information Processing Systems, 2017, pp. 1024-1034.

5. Y. Ma, S.H. Wang, C.C. Aggarwal, D.W. Yin, J.L. Tang, Multi-dimensional graph convolutional networks, in: Proceedings of the SIAM International Conference on Data Mining, 2019, pp. 657-665.

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