LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction

Factorizing personalized markov chains for next-basket recommendation

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Supervised sequence labelling

Graves, A.; and Graves, A. 2012 · 2012

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Where you like to go next: Successive point-of-interest recommendation

Cheng, C.; Yang, H.; Lyu, M. R.; and King, I. 2013 · 2013

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The TimeGeo modeling framework for urban mobility without travel surveys

Jiang, S.; Yang, Y.; Gupta, S.; Veneziano, D.; Athavale, S.; and González, M. C. 2016 · 2016

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I know where you live: Inferring details of people’s lives by visualizing publicly shared location data

Liccardi, I.; Abdul-Rahman, A.; and Chen, M. 2016 · 2016

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Predicting the next location: A recurrent model with spatial and temporal contexts

Liu, Q.; Wu, S.; Wang, L.; and Tan, T. 2016 · 2016

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Visualizing the relationship between human mobility and points of interest

Zeng, W.; Fu, C.-W.; Arisona, S. M.; Schubiger, S.; Burkhard, R.; and Ma, K.-L. 2017 · 2017

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DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

Feng, J.; Li, Y.; Zhang, C.; Sun, F.; Meng, F.; Guo, A.; and Jin, D. 2018 · 2018

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STP-UDGAT: Spatial-temporal-preference user dimensional graph attention network for next POI recommendation

Lim, N.; Hooi, B.; Ng, S.-K.; Wang, X.; Goh, Y. L.; Weng, R.; and Varadarajan, J. 2020 · 2020

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Where to go next: Modeling long-and short-term user preferences for point-of-interest recommendation

Sun, K.; Qian, T.; Chen, T.; Liang, Y.; Nguyen, Q. V. H.; and Yin, H. 2020 · 2020

Cited alongside, same era.

Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility

Chen, Q.; and Poorthuis, A. 2021 · 2021

Cited alongside, same era.

Stan: Spatio-temporal attention network for next location recommendation

Luo, Y.; Liu, Q.; and Liu, Z. 2021 · 2021

Cited alongside, same era.

Graph-flashback network for next location recommendation

Rao, X.; Chen, L.; Liu, Y.; Shang, S.; Yao, B.; and Han, P. 2022 · 2022

Cited alongside, same era.

GETNext: trajectory flow map enhanced transformer for next POI recommendation

Yang, S.; Liu, J.; and Zhao, K. 2022 · 2022

Cited alongside, same era.

Gpt-4 technical report

Code llama: Open foundation models for code

Original

Roziere, B.; Gehring, J.; Gloeckle, F.; Sootla, S.; Gat, I.; Tan, X. E.; Adi, Y.; Liu, J.; Remez, T.; Rapin, J.; et al. 2023 · 2023

Later among the works it cites.

The rise and potential of large language model based agents: A survey

Original

Xi, Z.; Chen, W.; Guo, X.; He, W.; Ding, Y.; Hong, B.; Zhang, M.; Wang, J.; Jin, S.; Zhou, E.; et al. 2023 · 2023

Later among the works it cites.

Spatio-temporal hypergraph learning for next POI recommendation

Yan, X.; Song, T.; Jiao, Y.; He, J.; Wang, J.; Li, R.; and Chu, W. 2023 · 2023

Later among the works it cites.

Next POI recommendation with dynamic graph and explicit dependency

Yin, F.; Liu, Y.; Shen, Z.; Chen, L.; Shang, S.; and Han, P. 2023 · 2023

Later among the works it cites.

Large Language Models are Zero-Shot Next Location Predictors

Original