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A BiLSTM-CNN model for predicting users’ next locations based on geotagged social media

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References

2012Next place prediction using mobility Markov chains555 cited
2013Exploring temporal effects for location recommendation on location-based social networks522 cited
2012Predicting future locations with hidden Markov models384 cited
2003Learning significant locations and predicting user movement with GPS334 cited
2011Correlating mobile phone usage and travel behavior – A case study of Harbin, China252 cited
2004Discovering personal gazetteers166 cited
2011CLR139 cited
2015Modeling and Visualizing Regular Human Mobility Patterns with Uncertainty: An Example Using Twitter Data97 cited
2010Learning Location Correlation from GPS Trajectories76 cited

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2021A Survey on Deep Learning for Human Mobility29 cited
2023Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism25 cited

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2023

How to quantify the travel ratio of urban public transport at a high spatial resolution? A novel computational framework with geospatial big data

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2024From trajectories to network: Delineating the spatial pattern of recreational walking in Guangzhou21 cited

2023Quantifying the environmental characteristics influencing the attractiveness of commercial agglomerations with big geo-data18 cited

2022Conserved quantities in human mobility: From locations to trips16 cited

2022Generation of individual daily trajectories by GPT-215 cited

2024Next location prediction using heterogeneous graph-based fusion network with physical and social awareness11 cited

2025A comprehensive methodological review of human mobility simulation and modelling: Current trends, challenges, and future directions9 cited

2021Hidden Markov Model to Predict Tourists Visited Places5 cited

2024Research and Modeling of Commercial Location Selection Based on Geographic Big Data and Mobile Signaling Data—A Case Study of the Central Urban Area of Beijing4 cited

2023Analyzing factors on tourist movement predictability: a study based on social media data4 cited