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Will you go where you search? A deep learning framework for estimating user search-and-go behavior
10 references·1 citing·42 second hop
Will you go where you search? A deep learning framework for estimating user search-and-go behavior (2020)Will you go where you search? A deep lear…Predicting Human Mobility via Variational Attention (2019)Predicting Human Mobility via…Location prediction in large-scale social networks: an in-depth benchmarking study (2019)Location prediction in large-…Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective (2018)Exploring Human Mobility Patt…Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data (2018)Detecting Popular Temporal Mo…DeepMove (2018)DeepMovePredicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…GMove (2016)GMoveCityMomentum (2015)CityMomentumModelling the scaling properties of human mobility (2010)Modelling the scaling propert…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events (2025)CausalMob: Causal Human Mobil…Eigenbehaviors: identifying structure in routine (2009)Limits of Predictability in Human Mobility (2010)Human mobility modeling at metropolitan scales (2012)Context-aware real-time population estimation for metropolis (2016)A mobility network approach to identify and anticipate large crowd gatherings (2018)A Variational Autoencoder Based Generative Model of Urban Human Mobility (2019)Inferring High-Level Behavior from Low-Level Sensors (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)Learning and inferring transportation routines (2007)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Human mobility: Models and applications (2018)Friendship and mobility (2011)Regions, Periods, Activities (2017)Trajectory-User Linking via Variational AutoEncoder (2018)Learning to Simulate Human Mobility (2020)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)Urban Human Mobility (2019)A Survey of Emergencies Management Systems in Smart Cities (2022)Discovering regions of different functions in a city using human mobility and POIs (2012)Revisitation in Urban Space vs. Online (2018)Revealing Urban Dynamics by Learning Online and Offline Behaviours Together (2019)Demographics of mobile app usage: long-term analysis of mobile app usage (2021)The Livehoods Project: Utilizing Social Media to Understand the Dynamics of a City (2021)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Mobility Prediction Using a Weighted Markov Model Based on Mobile User Classification (2021)Self-supervised human mobility learning for next location prediction and trajectory classification (2021)Activity Trajectory Generation via Modeling Spatiotemporal Dynamics (2022)Microblogging during two natural hazards events (2010)You are where you tweet (2010)Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities (2020)Activity location inference of users based on social relationship (2021)UGCC: Social Media User Geolocation via Cyclic Coupling (2023)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)A survey on deep learning for human mobility (2023)
this work references cited by second hop

References

  • 2010Modelling the scaling properties of human mobility1,286 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2018DeepMove714 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2016GMove158 cited
  • 2018Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective149 cited
  • 2015CityMomentum122 cited
  • 2019Predicting Human Mobility via Variational Attention121 cited
  • 2018Detecting Popular Temporal Modes in Population-scale Unlabelled Trajectory Data37 cited
  • 2019Location prediction in large-scale social networks: an in-depth benchmarking study31 cited

Cited by

  • 2025CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events12 cited

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