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Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network
5 references·8 citing·32 second hop
Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network (2018)Predicting Activity and Location with Mul…A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories (2017)A Neural Network Approach to …Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Modeling User Activity Prefer…What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)What's Your Next Move: User A…Friendship and mobility (2011)Friendship and mobilityContext-aware prediction of active and passive user engagement: Evidence from a large online social platform (2024)Context-aware prediction of a…Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework (2022)Enriching Large-Scale Trips W…BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model (2022)BMAM: complete the missing PO…Beyond fixed time and space: next POI recommendation via multi-grained context and correlation (2022)Beyond fixed time and space: …WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing (2021)WiFiMod: Transformer-based In…The Missing POI Completion Based on Bidirectional Masked Trajectory Model (2021)The Missing POI Completion Ba…MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction (2021)MobTCast: Leveraging Auxiliar…A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts (2019)A Meta-Path-Based Recurrent M…Discovering regions of different functions in a city using human mobility and POIs (2012)Participatory Cultural Mapping Based on Collective Behavior Data in Location-Based Social Networks (2016)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)Exploring Millions of Footprints in Location Sharing Services (2021)A survey on deep learning for human mobility (2023)Birds of a Feather: Homophily in Social Networks (2001)Power-Law Distributions in Empirical Data (2009)DeepMove (2018)Power-law distributions in empirical data (2018)Predestination: Inferring Destinations from Partial Trajectories (2006)Find me if you can (2010)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)A Generative Model of Urban Activities from Cellular Data (2017)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)Exploring temporal effects for location recommendation on location-based social networks (2013)Modelling of Bi-Directional Spatio-Temporal Dependence and Users’ Dynamic Preferences for Missing POI Check-In Identification (2019)Predicting Human Mobility via Variational Attention (2019)Survey on user location prediction based on geo-social networking data (2020)Modelling the scaling properties of human mobility (2010)Inferring Trips and Origin-Destination Flows From Wi-Fi Probe Data: A Case Study of Campus Wi-Fi Network (2023)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)The EU General Data Protection Regulation (GDPR) (2017)Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics (2024)Activity-aware urban area embedding with contrastive learning for intelligent transportation systems applications (2025)Predicting human mobility flows in cities using deep learning on satellite imagery (2025)Habit and intention in everyday life: The multiple processes by which past behavior predicts future behavior. (1998)To Explain or to Predict? (2010)Private traits and attributes are predictable from digital records of human behavior (2013)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Context-aware multi-head self-attentional neural network model for next location prediction (2023)Predicting Human Mobility via Self-Supervised Disentanglement Learning (2023)Large Language Models are Zero-Shot Next Location Predictors (2025)
this work references cited by second hop

References

  • 2011Friendship and mobility2,912 cited
  • 2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts1,014 cited
  • 2014Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs857 cited
  • 2013What's Your Next Move: User Activity Prediction in Location-based Social Networks222 cited
  • 2017A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories157 cited

Cited by

  • 2021MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction46 cited
  • 2022Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework17 cited
  • 2021WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing13 cited
  • 2024Context-aware prediction of active and passive user engagement: Evidence from a large online social platform12 cited
  • 2022Beyond fixed time and space: next POI recommendation via multi-grained context and correlation11 cited
  • 2022BMAM: complete the missing POI in the incomplete trajectory via mask and bidirectional attention model5 cited
  • 2019A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts5 cited
  • 2021The Missing POI Completion Based on Bidirectional Masked Trajectory Model3 cited

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