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Where Will You Go? Mobile Data Mining for Next Place Prediction
5 references·10 citing·41 second hop
Where Will You Go? Mobile Data Mining for Next Place Prediction (2013)Where Will You Go? Mobile Data Mining for…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Predicting future locations with hidden Markov models (2012)Predicting future locations w…Been There, Done That: What Your Mobility Traces Reveal about Your Behavior (2012)Been There, Done That: What Y…Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake (2010)Volunteered Geographic Inform…Permission-based mobile advertising (2002)Permission-based mobile adver…A regression framework for predicting user’s next location using Call Detail Records (2020)A regression framework for pr…Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks (2019)Venue2Vec: An Efficient Embed…BuScope (2019)BuScopePredicting Episodes of Non-Conformant Mobility in Indoor Environments (2018)Predicting Episodes of Non-Co…Next Place Prediction (2018)Next Place PredictionEffective fine-grained location prediction based on user check-in pattern in LBSNs (2018)Effective fine-grained locati…Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches (2018)Assessing the Influence of Sp…Spatio-Temporal Modeling of Users' Check-ins in Location-Based Social Networks (2016)Spatio-Temporal Modeling of U…Managing travel demand: Location recommendation for system efficiency based on mobile phone data (2016)Managing travel demand: Locat…Probabilistic Inference of Unknown Locations (2014)Probabilistic Inference of Un…Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)Understanding mobility based on GPS data (2008)Next place prediction using mobility Markov chains (2012)Big Data Driven Hidden Markov Model Based Individual Mobility Prediction at Points of Interest (2016)GMove (2016)Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States! (2020)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)Revealing the User Behavior Pattern Using HNCORS RTK Location Big Data (2019)Hierarchical temporal–spatial preference modeling for user consumption location prediction in Geo-Social Networks (2021)Inferring Individual Human Mobility From Sparse Check-in Data: A Temporal-Context-Aware Approach (2022)What about people in Regional Science? (1970)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)Using GPS to learn significant locations and predict movement across multiple users (2003)Procedures for Performing Systematic Reviews (2004)A Context- and Trajectory-Based Destination Prediction of Public Transportation Users (2022)Explaining human mobility predictions through a pattern matching algorithm (2022)Reality mining: sensing complex social systems (2005)Optimizing Cross-Line Dispatching for Minimum Electric Bus Fleet (2021)CountMeIn: Adaptive Crowd Estimation with Wi-Fi in Smart Cities (2022)Exploiting Multi-modal Contextual Sensing for City-bus’s Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction (2022)Exploring temporal effects for location recommendation on location-based social networks (2013)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)gtfs2vec (2021)Imputation of missing time-activity data with long-term gaps: A multi-scale residual CNN-LSTM network model (2022)A Brief History of Neoliberalism (2005)Geographic information systems and science (2005)Citizens as sensors: the world of volunteered geography (2007)OpenStreetMap: User-Generated Street Maps (2008)Geographic information systems and science (2011)Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation (2012)Consumer Attitudes Toward Mobile Advertising: An Empirical Study (2004)The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization1 (2006)The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing (2010)Next place prediction by understanding mobility patterns (2015)Location choice with longitudinal WiFi data (2016)Mobile crowd location prediction with hybrid features using ensemble learning (2018)
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References

  • 2010Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake768 cited
  • 2002Permission-based mobile advertising595 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2012Predicting future locations with hidden Markov models384 cited
  • 2012Been There, Done That: What Your Mobility Traces Reveal about Your Behavior42 cited

Cited by

  • 2019Venue2Vec: An Efficient Embedding Model for Fine-Grained User Location Prediction in Geo-Social Networks27 cited
  • 2018Effective fine-grained location prediction based on user check-in pattern in LBSNs20 cited
  • 2019BuScope19 cited
  • 2018Assessing the Influence of Spatio-Temporal Context for Next Place Prediction using Different Machine Learning Approaches14 cited
  • 2018Next Place Prediction13 cited
  • 2020A regression framework for predicting user’s next location using Call Detail Records10 cited
  • 2018Predicting Episodes of Non-Conformant Mobility in Indoor Environments7 cited
  • 2014Probabilistic Inference of Unknown Locations6 cited
  • 2016Spatio-Temporal Modeling of Users' Check-ins in Location-Based Social Networks6 cited
  • 2016

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Managing travel demand: Location recommendation for system efficiency based on mobile phone data
5 cited