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A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts
5 references·1 citing·23 second hop
A Meta-Path-Based Recurrent Model for Next POI Prediction with Spatial and Temporal Contexts (2019)A Meta-Path-Based Recurrent Model for Nex…Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network (2018)Predicting Activity and Locat…Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models (2017)Location Prediction Through A…Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Predicting the Next Location:…Regularity and Conformity (2015)Regularity and ConformityModeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Modeling User Activity Prefer…Sports match prediction model for training and exercise using attention-based LSTM network (2021)Sports match prediction model…Social Influence: Compliance and Conformity (2004)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Geography of Pokémon GO (2017)The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement (2019)Context-aware Deep Model for Joint Mobility and Time Prediction (2020)Friendship and mobility (2011)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)Applying deep bidirectional LSTM and mixture density network for basketball trajectory prediction (2017)Pattern graph tracking-based stock price prediction using big data (2017)Speech Emotion Classification Using Attention-Based LSTM (2019)POI2Vec: Geographical Latent Representation for Predicting Future Visitors (2017)DeepMove (2018)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network (2022)Improving next location prediction with inferred activity semantics in mobile phone data (2025)MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction (2021)WiFiMod: Transformer-based Indoor Human Mobility Modeling using Passive Sensing (2021)Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework (2022)
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References

  • 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
  • 2015Regularity and Conformity139 cited
  • 2018Predicting Activity and Location with Multi-task Context Aware Recurrent Neural Network76 cited
  • 2017Location Prediction Through Activity Purpose: Integrating Temporal and Sequential Models10 cited

Cited by

  • 2021Sports match prediction model for training and exercise using attention-based LSTM network58 cited

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