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The influence of temporal and spatial features on the performance of next-place prediction algorithms
12 references·16 citing·37 second hop
The influence of temporal and spatial features on the performance of next-place prediction algorithms (2013)The influence of temporal and spatial fea…Interdependence and predictability of human mobility and social interactions (2013)Interdependence and predictab…The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)The Mobile Data Challenge: Bi…Predictability of individuals' mobility with high-resolution positioning data (2012)Predictability of individuals…Evaluating mobility models for temporal prediction with high-granularity mobility data (2012)Evaluating mobility models fo…Discovering places of interest in everyday life from smartphone data (2012)Discovering places of interes…NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems (2011)NextPlace: A Spatio-temporal …Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Mining Individual Life Pattern Based on Location History (2009)Mining Individual Life Patter…Predestination: Inferring Destinations from Partial Trajectories (2006)Predestination: Inferring Des…Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones (2006)Farther Than You May Think: A…Extracting places from traces of locations (2005)Extracting places from traces…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling (2023)Exploring Transformer and Gra…Combining individual travel behaviour and collective preferences for next location prediction (2021)Combining individual travel b…NexT: A framework for next-place prediction on location based social networks (2020)NexT: A framework for next-pl…Semantics-Aware Hidden Markov Model for Human Mobility (2019)Semantics-Aware Hidden Markov…A systematic framework of predicting customer revisit with in-store sensors (2019)A systematic framework of pre…Selecting Individual and Population Models for Predicting Human Mobility (2018)Selecting Individual and Popu…Where are You Going? Next Place Prediction from Twitter (2017)Where are You Going? Next Pla…A survey of people-centric sensing studies utilizing mobile phone sensors (2017)A survey of people-centric se…DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns (2016)DeepSpace: An Online Deep Lea…Using Twitter for Next-Place Prediction, with an Application to Crime Prediction (2015)Using Twitter for Next-Place …Supporting Serendipitous Social Interaction Using Human Mobility Prediction (2015)Supporting Serendipitous Soci…STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction (2015)STMM: Semantic and Temporal-A…Multi-hop Mobility Prediction (2015)Multi-hop Mobility PredictionForecasting urban dynamics with mobility logs by bilinear Poisson regression (2015)Forecasting urban dynamics wi…Effective Mobile Context Pattern Discovery via Adapted Hierarchical Dirichlet Processes (2014)Effective Mobile Context Patt…How long are you staying? (2013)How long are you staying?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)Understanding mobility based on GPS data (2008)Lab And/Or Field? Measuring Personality Processes and Their Social Consequences (2015)Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions (2018)Towards a comprehensive set of GPS-based indicators reflecting the multidimensional nature of daily mobility for applications in health and aging research (2019)Reality mining: sensing complex social systems (2005)The origin of bursts and heavy tails in human dynamics (2005)Modelling the scaling properties of human mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Inferring High-Level Behavior from Low-Level Sensors (2003)Learning and inferring transportation routines (2007)Discovering human places of interest from multimodal mobile phone data (2010)Personal data vaults (2010)The scaling laws of human travel (2006)Computational Social Science (2009)From big smartphone data to worldwide research: The Mobile Data Challenge (2013)Urban Computing Leveraging Location-Based Social Network Data (2019)Urban Human Mobility (2019)Summary of Travel Trends 2001 National Household Travel Survey (2005)Travel route recommendation using geotags in photo sharing sites (2010)A Coefficient of Agreement for Nominal Scales (1960)A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method (2004)Ubiquitous Advertising: The Killer Application for the 21st Century (2010)Contextual conditional models for smartphone-based human mobility prediction (2012)Mining smartphone data for app usage prediction and recommendations: A survey (2017)What's Your Next Move: User Activity Prediction in Location-based Social Networks (2013)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data (2017)gSCorr (2012)Analyzing large-scale human mobility data: a survey of machine learning methods and applications (2018)
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References

  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2006Predestination: Inferring Destinations from Partial Trajectories464 cited
  • 2012The Mobile Data Challenge: Big Data for Mobile Computing Research429 cited
  • 2009Mining Individual Life Pattern Based on Location History281 cited
  • 2011NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems277 cited
  • 2005Extracting places from traces of locations186 cited
  • 2013Interdependence and predictability of human mobility and social interactions150 cited
  • 2012Discovering places of interest in everyday life from smartphone data137 cited
  • 2006Farther Than You May Think: An Empirical Investigation of the Proximity of Users to Their Mobile Phones128 cited
  • 2012Evaluating mobility models for temporal prediction with high-granularity mobility data90 cited
  • 2012Predictability of individuals' mobility with high-resolution positioning data90 cited

Cited by

  • 2015Forecasting urban dynamics with mobility logs by bilinear Poisson regression48 cited
  • 2020NexT: A framework for next-place prediction on location based social networks48 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2015Using Twitter for Next-Place Prediction, with an Application to Crime Prediction40 cited
  • 2016DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns40 cited
  • 2015Supporting Serendipitous Social Interaction Using Human Mobility Prediction32 cited
  • 2013How long are you staying?24 cited
  • 2019Semantics-Aware Hidden Markov Model for Human Mobility20 cited
  • 2018Selecting Individual and Population Models for Predicting Human Mobility19 cited
  • 2015Multi-hop Mobility Prediction18 cited
  • 2023Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling17 cited
  • 2017A survey of people-centric sensing studies utilizing mobile phone sensors15 cited
  • 2014Effective Mobile Context Pattern Discovery via Adapted Hierarchical Dirichlet Processes13 cited
  • 2019A systematic framework of predicting customer revisit with in-store sensors11 cited
  • 2015STMM: Semantic and Temporal-Aware Markov Chain Model for Mobility Prediction10 cited
  • 2017Where are You Going? Next Place Prediction from Twitter10 cited
  • 2021Combining individual travel behaviour and collective preferences for next location prediction10 cited