Capturing Fine and Coarse Grained User Preferences with Dual-Transformer for Next POI Recommendation

Author:

Zheng YongshangORCID,Zhou XuORCID

Publisher

Springer Nature Singapore

Reference20 articles.

1. Cheng, C., Yang, H., Lyu, M.R., King, I.: Where you like to go next: successive point-of-interest recommendation. In: Proceedings of the 23rd International Joint Conference on Artificial Intelligence IJCAI, Beijing, China, pp. 2605–2611 (2013)

2. Feng, J., et al.: Deepmove: predicting human mobility with attentional recurrent networks. In: Proceedings of the 2018 World Wide Web Conference, pp. 1459–1468 (2018)

3. Huang, L., Ma, Y., Wang, S., Liu, Y.: An attention-based spatiotemporal LSTM network for next poi recommendation. IEEE Trans. Serv. Comput. 14(6), 1585–1597 (2021)

4. Li, Q., Xu, X., Liu, X., Chen, Q.: An attention-based spatiotemporal GGNN for next POI recommendation. Inst. Electr. Electron. Engineers 10, 26471–26480 (2022)

5. Li, Y., Tarlow, D., Brockschmidt, M., Zemel, R.: Gated graph sequence neural networks. In: 4th International Conference on Learning Representations, ICLR 2016, San Juan, Puerto Rico, 2–4 May 2016, Conference Track Proceedings (2016)

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