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Predicting the next move: Determining mobile user location using semantic information
7 references·0 citing·27 second hop
Predicting the next move: Determining mobile user location using semantic information (2015)Predicting the next move: Determining mob…Mining Users ’ Behaviors and Environments for Semantic Place Prediction (2013)Mining Users ’ Behaviors and …Feature engineering for semantic place prediction (2013)Feature engineering for seman…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…PnLUM : System for Prediction of Next Location for Users with Mobility (2012)PnLUM : System for Prediction…Periodicity Based Next Place Prediction (2012)Periodicity Based Next Place …Been There, Done That: What Your Mobility Traces Reveal about Your Behavior (2012)Been There, Done That: What Y…Been There, Done That: What Your Mobility Traces Reveal about Your Behavior Nokia Mobile Data Challenge - Next Place Prediction (2012)Been There, Done That: What Y…Understanding individual human mobility patterns (2008)Inferring friendship network structure by using mobile phone data (2009)Find me if you can (2010)Predicting future locations with hidden Markov models (2012)Measuring Large-Scale Social Networks with High Resolution (2014)A survey on deep learning for human mobility (2023)Inferring High-Level Behavior from Low-Level Sensors (2003)Mining large-scale smartphone data for personality studies (2011)Automatically characterizing places with opportunistic crowdsensing using smartphones (2012)Next place prediction by understanding mobility patterns (2015)Inferring the home locations of Twitter users based on the spatiotemporal clustering of Twitter data (2017)Mobile crowd location prediction with hybrid features using ensemble learning (2018)Friendship and mobility (2011)NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)Predicting mobile users’ behaviors and locations using dynamic Bayesian networks (2016)Clustering Users by Their Mobility Behavioral Patterns (2019)Using GPS to learn significant locations and predict movement across multiple users (2003)Predestination: Inferring Destinations from Partial Trajectories (2006)A next location prediction method for smartphones using blockmodels (2013)Discovering Latent Semantic Structure in Human Mobility Traces (2015)User location prediction with energy efficiency model in the Long Term‐Evolution network (2015)Where Will You Go? Mobile Data Mining for Next Place Prediction (2013)Location choice with longitudinal WiFi data (2016)Location semantics prediction for living analytics by mining smartphone data (2014)On the semantic annotation of Wi-Fi SSID logs in mobile applications (2017)MobiDict (2016)Inferring passenger types from commuter eigentravel matrices (2017)
this work references cited by second hop

References

  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2012Been There, Done That: What Your Mobility Traces Reveal about Your Behavior42 cited
  • 2012Periodicity Based Next Place Prediction32 cited
  • 2013Feature engineering for semantic place prediction30 cited
  • 2012PnLUM : System for Prediction of Next Location for Users with Mobility29 cited
  • 2013Mining Users ’ Behaviors and Environments for Semantic Place Prediction18 cited
  • 2012Been There, Done That: What Your Mobility Traces Reveal about Your Behavior Nokia Mobile Data Challenge - Next Place Prediction18 cited

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