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A novel collaborative approach for location prediction in mobile networks
10 references·2 citing·43 second hop
A novel collaborative approach for location prediction in mobile networks (2016)A novel collaborative approach for locati…NextCell: Predicting Location Using Social Interplay from Cell Phone Traces (2014)NextCell: Predicting Location…Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks (2014)Human Mobility Prediction and…Find you from your friends: Graph-based residence location prediction for users in social media (2014)Find you from your friends: G…Characterizing and modeling people movement from mobile phone sensing traces (2014)Characterizing and modeling p…A probabilistic kernel method for human mobility prediction with smartphones (2014)A probabilistic kernel method…Where and what: Using smartphones to predict next locations and applications in daily life (2013)Where and what: Using smartph…SmartDC: Mobility Prediction-Based Adaptive Duty Cycling for Everyday Location Monitoring (2013)SmartDC: Mobility Prediction-…Modelling heterogeneous location habits in human populations for location prediction under data sparsity (2013)Modelling heterogeneous locat…Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace (2011)Jyotish: Constructive approac…Understanding individual human mobility patterns (2008)Understanding individual huma…Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network (2022)Predicting a Person’s Next Ac…Predicting Human Location Using Correlated Movements (2019)Predicting Human Location Usi…Reality mining: sensing complex social systems (2005)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)NextMe: Localization Using Cellular Traces in Internet of Things (2015)The effect of recency to human mobility (2015)Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks (2018)Human mobility modeling at metropolitan scales (2012)Neural Turing Machine for sequential learning of human mobility patterns (2016)HybridBaro: Mining Driving Routes Using Barometer Sensor of Smartphone (2017)Survey of Automated Fare Collection Solutions in Public Transportation (2022)The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)A universal model for mobility and migration patterns (2012)Find me if you can (2010)You are where you tweet (2010)Finding your friends and following them to where you are (2012)SNS user classification and its application to obscure POI discovery (2016)Collaborative filtering meets next check-in location prediction (2013)Reconstructing Individual Mobility from Smart Card Transactions: A Space Alignment Approach (2013)Analyzing Public Transportation Offer wrt Mobility Demand (2019)Extending Coverage of Stationary Sensing Systems with Mobile Sensing Systems for Human Mobility Modeling (2020)Analyzing Demand with Respect to Offer of Mobility (2022)Towards rich mobile phone datasets: Lausanne data collection campaign (2010)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)Exploring the utilization of places through a scalable “Activities in Places” analysis mechanism (2016)Characterizing user mobility using mobile sensing systems (2017)Understanding crowd density with a smartphone sensing system (2018)Using GPS to learn significant locations and predict movement across multiple users (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)Human mobility in space from three modes of public transportation (2017)A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz (2018)How Big Data Fast Tracked Human Mobility Research and the Lessons for Animal Movement Ecology (2018)Mobility profiler: A framework for discovering mobility profiles of cell phone users (2010)Bleep Bleep! Determining Smartphone Locations by Opportunistically Recording Notification Sounds (2014)Characterizing mobility patterns of people in developing countries using their mobile phone data (2014)A survey of people-centric sensing studies utilizing mobile phone sensors (2017)Computational Social Science (2009)Supporting Serendipitous Social Interaction Using Human Mobility Prediction (2015)Cluster-aided mobility predictions (2016)Modeling Spatio-Temporal App Usage for a Large User Population (2019)Building a validation measure for activity-based transportation models based on mobile phone data (2014)Mining smartphone data for app usage prediction and recommendations: A survey (2017)LSTM-Based Deep Learning Model for Predicting Individual Mobility Traces of Short-Term Foreign Tourists (2020)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2013Where and what: Using smartphones to predict next locations and applications in daily life137 cited
  • 2014NextCell: Predicting Location Using Social Interplay from Cell Phone Traces100 cited
  • 2014A probabilistic kernel method for human mobility prediction with smartphones66 cited
  • 2013SmartDC: Mobility Prediction-Based Adaptive Duty Cycling for Everyday Location Monitoring61 cited
  • 2013Modelling heterogeneous location habits in human populations for location prediction under data sparsity41 cited
  • 2014Characterizing and modeling people movement from mobile phone sensing traces37 cited
  • 2011Jyotish: Constructive approach for context predictions of people movement from joint Wifi/Bluetooth trace30 cited
  • 2014Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks22 cited
  • 2014Find you from your friends: Graph-based residence location prediction for users in social media15 cited

Cited by

  • 2022Predicting a Person’s Next Activity Region with a Dynamic Region-Relation-Aware Graph Neural Network3 cited
  • 2019Predicting Human Location Using Correlated Movements3 cited

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