A Category-Aware Deep Model for Successive POI Recommendation on Sparse Check-in Data

Author:

Yu Fuqiang1,Cui Lizhen1,Guo Wei1,Lu Xudong1,Li Qingzhong1,Lu Hua2

Affiliation:

1. Shandong University

2. Aalborg University

Publisher

ACM

Cited by 98 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Spatiotemporal context transition model based on graph convolutional network and its implementation;International Journal of Web Information Systems;2024-08-27

2. Personalized Beyond-accuracy Calibration in Recommendation;Proceedings of the 2024 ACM SIGIR International Conference on Theory of Information Retrieval;2024-08-02

3. Graph-Enhanced Spatio-Temporal Interval Aware Network for Next POI Recommendation in Mobile Environment;Journal of Internet Technology;2024-07-31

4. Next location prediction using heterogeneous graph-based fusion network with physical and social awareness;International Journal of Geographical Information Science;2024-07-10

5. Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation;Proceedings of the ACM Web Conference 2024;2024-05-13

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