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Next location prediction plays a crucial role in various real-world applications.
Factorizing personalized markov chains for next-basket recommendation
Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010 · 2010
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Where you like to go next: Successive point-of-interest recommendation
Chen Cheng, Haiqin Yang, Michael R Lyu, and Irwin King. 2013 · 2013
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The timegeo modeling framework for urban mobility without travel surveys
Shan Jiang, Yingxiang Yang, Siddharth Gupta, Daniele Veneziano, Shounak Athavale, and Marta C González. 2016 · 2016
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Predicting the next location: A recurrent model with spatial and temporal contexts
Qiang Liu, Shu Wu, Liang Wang, and Tieniu Tan. 2016 · 2016
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Participatory cultural mapping based on collective behavior data in location-based social networks
Dingqi Yang, Daqing Zhang, and Bingqing Qu. 2016 · 2016
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Modeling trajectories with recurrent neural networks
Hao Wu, Ziyang Chen, Weiwei Sun, Baihua Zheng, and Wei Wang. 2017 · 2017
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Deepmove: Predicting human mobility with attentional recurrent networks
Jie Feng, Yong Li, Chao Zhang, Funing Sun, Fanchao Meng, Ang Guo, and Depeng Jin. 2018 · 2018
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HST-LSTM: A hierarchical spatial-temporal long-short term memory network for location prediction
Dejiang Kong and Fei Wu. 2018 · 2018
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Dplink: User identity linkage via deep neural network from heterogeneous mobility data
Jie Feng, Mingyang Zhang, Huandong Wang, Zeyu Yang, Chao Zhang, Yong Li, and Depeng Jin. 2019 · 2019
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An attention-based spatiotemporal lstm network for next poi recommendation
Liwei Huang, Yutao Ma, Shibo Wang, and Yanbo Liu. 2019 · 2019
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Pmf: A privacy-preserving human mobility prediction framework via federated learning
Jie Feng, Can Rong, Funing Sun, Diansheng Guo, and Yong Li. 2020 · 2020
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Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation
Ke Sun, Tieyun Qian, Tong Chen, Yile Liang, Quoc Viet Hung Nguyen, and Hongzhi Yin. 2020 · 2020
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Location prediction over sparse user mobility traces using rnns
Dingqi Yang, Benjamin Fankhauser, Paolo Rosso, and Philippe Cudre-Mauroux. 2020 · 2020
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Discovering subsequence patterns for next poi recommendation
Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, and Chunxiao Xing. 2020 · 2020
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ST-PIL: Spatial-temporal periodic interest learning for next point-of-interest recommendation
Qiang Cui, Chenrui Zhang, Yafeng Zhang, Jinpeng Wang, and Mingchen Cai. 2021 · 2021
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Pre-training context and time aware location embeddings from spatial-temporal trajectories for user next location prediction
Yan Lin, Huaiyu Wan, Shengnan Guo, and Youfang Lin. 2021 · 2021
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A survey on deep learning for human mobility
Massimiliano Luca, Gianni Barlacchi, Bruno Lepri, and Luca Pappalardo. 2021 · 2021
Cited alongside, same era.
Stan: Spatio-temporal attention network for next location recommendation
Yingtao Luo, Qiang Liu, and Zhaocheng Liu. 2021 · 2021
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
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Introducing chatgpt
OpenAI. 2022 · 2022
Cited alongside, same era.
Next point-of-interest recommendation with auto-correlation enhanced multi-modal transformer network
Yanjun Qin, Yuchen Fang, Haiyong Luo, Fang Zhao, and Chenxing Wang. 2022 · 2022
Cited alongside, same era.
Graph-flashback network for next location recommendation
Xuan Rao, Lisi Chen, Yong Liu, Shuo Shang, Bin Yao, and Peng Han. 2022 · 2022
Spatio-temporal hypergraph learning for next poi recommendation
Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, and Wei Chu. 2023 · 2023
Later among the works it cites.
Large language models for spatial trajectory patterns mining
Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, and Liang Zhao. 2023 · 2023
Later among the works it cites.
Large language models are zero-shot next location predictors
Ciro Beneduce, Bruno Lepri, and Massimiliano Luca. 2024 · 2024
Closest in time.
Trajagent: An agent framework for unified trajectory modelling
Yuwei Du, Jie Feng, Jie Zhao, and Yong Li. 2024 · 2024
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Where to move next: Zero-shot generalization of llms for next poi recommendation
Shanshan Feng, Haoming Lyu, Fan Li, Zhu Sun, and Caishun Chen. 2024c · 2024
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Cited alongside, same era.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2022 · 2022
Cited alongside, same era.
Getnext: trajectory flow map enhanced transformer for next poi recommendation
Song Yang, Jiamou Liu, and Kaiqi Zhao. 2022 · 2022
Cited alongside, same era.
Language models represent space and time
Wes Gurnee and Max Tegmark. 2023 · 2023
Cited alongside, same era.
Context-aware multi-head self-attentional neural network model for next location prediction
Ye Hong, Yatao Zhang, Konrad Schindler, and Martin Raubal. 2023 · 2023
Cited alongside, same era.
Libcity: A unified library towards efficient and comprehensive urban spatial-temporal prediction
Jiawei Jiang, Chengkai Han, Wenjun Jiang, Wayne Xin Zhao, and Jingyuan Wang. 2023 · 2023
Cited alongside, same era.
Large language models as traffic signal control agents: Capacity and opportunity
Siqi Lai, Zhao Xu, Weijia Zhang, Hao Liu, and Hui Xiong. 2023 · 2023
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Large language models are zero-shot time series forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew G Wilson. 2024 · 2024
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Mobilellm: Optimizing sub-billion parameter language models for on-device use cases
Zechun Liu, Changsheng Zhao, Forrest Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, et al. 2024 · 2024
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Deciphering human mobility: Inferring semantics of trajectories with large language models
Yuxiao Luo, Zhongcai Cao, Xin Jin, Kang Liu, and Ling Yin. 2024 · 2024
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Large language models are geographically biased
Rohin Manvi, Samar Khanna, Marshall Burke, David Lobell, and Stefano Ermon. 2024 · 2024
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Scaling large-language-model-based multi-agent collaboration
Chen Qian, Zihao Xie, Yifei Wang, Wei Liu, Yufan Dang, Zhuoyun Du, Weize Chen, Cheng Yang, Zhiyuan Liu, and Maosong Sun. 2024 · 2024
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A survey on large language model based autonomous agents
Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, et al. 2024 · 2024
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Travelplanner: A benchmark for real-world planning with language agents
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, and Yu Su. 2024 · 2024
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Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2024 · 2024
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A survey on the memory mechanism of large language model based agents
Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, and Ji-Rong Wen. 2024 · 2024
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Mobile edge intelligence for large language models: A contemporary survey
Guanqiao Qu, Qiyuan Chen, Wei Wei, Zheng Lin, Xianhao Chen, and Kaibin Huang. 2025 · 2025
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