DualSIN

Author:

Chen Quanjun1,Jiang Renhe2,Yang Chuang2,Cai Zekun2,Fan Zipei1,Tsubouchi Kota3,Shibasaki Ryosuke1,Song Xuan1

Affiliation:

1. SUSTech-UTokyo Joint Research Center on Super Smart City, Department of Computer Science and Engineering, Southern University of Science and Technology and Center for Spatial Information Science, University of Tokyo

2. Center for Spatial Information Science, University of Tokyo

3. Yahoo Japan Corporation

Publisher

ACM

Reference51 articles.

1. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org. Martín Abadi Ashish Agarwal Paul Barham Eugene Brevdo Zhifeng Chen Craig Citro Greg S. Corrado Andy Davis Jeffrey Dean Matthieu Devin Sanjay Ghemawat Ian Goodfellow Andrew Harp Geoffrey Irving Michael Isard Yangqing Jia Rafal Jozefowicz Lukasz Kaiser Manjunath Kudlur Josh Levenberg Dan Mané Rajat Monga Sherry Moore Derek Murray Chris Olah Mike Schuster Jonathon Shlens Benoit Steiner Ilya Sutskever Kunal Talwar Paul Tucker Vincent Vanhoucke Vijay Vasudevan Fernanda Viégas Oriol Vinyals Pete Warden Martin Wattenberg Martin Wicke Yuan Yu and Xiaoqiang Zheng. 2015. TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems. http://tensorflow.org/ Software available from tensorflow.org.

2. Recommendations in location-based social networks: a survey

3. Wide & Deep Learning for Recommender Systems

4. CityMomentum

5. Online deep ensemble learning for predicting citywide human mobility;Fan Zipei;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2018

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1. DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination;IET Intelligent Transport Systems;2024-08-19

2. Efficient Location Sampling Algorithms for Road Networks;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

3. KGNext: Knowledge-Graph-Enhanced Transformer for Next POI Recommendation With Uncertain Check-Ins;IEEE Transactions on Computational Social Systems;2024

4. Cross-Task Multimodal Reinforcement for Long Tail Next POI Recommendation;IEEE Transactions on Multimedia;2024

5. Revisiting Mobility Modeling with Graph: A Graph Transformer Model for Next Point-of-Interest Recommendation;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

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