POI Recommendation Based on Double-Level Spatio-Temporal Relationship in Locations and Categories
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8178-6_44
Reference14 articles.
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3. Liu, Q., Wu, S., Wang, L., Tan, T.: Predicting the next location: a recurrent model with spatial and temporal contexts. In: Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, pp. 194–200 (2016)
4. Sun, K., Qian, T., Chen, T., Liang, Y., Nguyen, Q.V.H., Yin, H.: Where to go next: modeling long-and short-term user preferences for point-of-interest recommendation. In: Proceedings of the AAAI Conference on Artificial Intelligence, pp.214–221 (2020)
5. Zhao, P., Luo, A., Liu, Y., Xu, J., Li, Z., Zhuang, F., et al.: Where to go next: a spatio-temporal gated network for next POI recommendation. IEEE Trans. Knowl. Data Eng. 34(5), 2512–2524 (2020)
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