The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
Open accessAbstract
Next Point-of-Interest (POI) recommendation is of great value for both location-based service providers and users. However, the state-of-the-art Recurrent Neural Networks (RNNs) rarely consider the spatio-temporal intervals between neighbor check-ins, which are essential for modeling user check-in behaviors in next POI recommendation. To this end, in this paper, we propose a new Spatio-Temporal Gated Network (STGN) by enhancing long-short term memory network, where spatio-temporal gates are introduced to capture the spatio-temporal relationships between successive checkins. Specifically, two pairs of time gate and distance gate are designed to control the short-term interest and the longterm interest updates, respectively. Moreover, we introduce coupled input and forget gates to reduce the number of parameters and further improve efficiency. Finally, we evaluate the proposed model using four real-world datasets from various location-based social networks. The experimental results show that our model significantly outperforms the state-ofthe-art approaches for next POI recommendation.
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Neural Collaborative Filtering
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Collaborative Knowledge Base Embedding for Recommender Systems
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Exploiting geographical influence for collaborative point-of-interest recommendation
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Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
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Time-aware point-of-interest recommendation
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Lian, D., Wu, Y., Ge, Y., Xie, X., & Chen, E. (2020) · Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining · doi:10.1145/3394486.3403252 · Cited by 253
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Metadata
- Authors
- Zhao, P., Zhu, H., Liu, Y., Xu, J., Li, Z., Zhuang, F., Sheng, V. S., & Zhou, X.
- Venue
- Proceedings of the AAAI Conference on Artificial Intelligence
- Published
- 2019-07-17
- Volume
- 33
- Issue
- 01
- Pages
- 5877-5884
- ISSN
- 2159-5399 (ISSN-L)
- 2374-3468
- OpenAlex
- W2905432015
- Cited by
- 283
- References
- 25
- FWCI
- 33.77
- Type
- conference paper
- Language
- en
- Open access
- diamond
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- Zhao, P., Zhu, H., Liu, Y., Xu, J., Li, Z., Zhuang, F., Sheng, V. S., & Zhou, X. (2019). Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. https://doi.org/10.1609/aaai.v33i01.33015877
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