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Predicting User Locations and Trajectories
6 references·9 citing·33 second hop
Predicting User Locations and Trajectories (2014)Predicting User Locations and TrajectoriesWhere to go from here? Mobility prediction from instantaneous information (2013)Where to go from here? Mobili…Beyond "local", "categories" and "friends" (2012)Beyond "local", "categories" …You are where you tweet (2010)You are where you tweetLimits of Predictability in Human Mobility (2010)Limits of Predictability in H…Understanding individual human mobility patterns (2008)Understanding individual huma…Using GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…https://www.ijmtst.com/vol8issue09.html (2022)https://www.ijmtst.com/vol8is…Fusing high-resolution multispectral image with trajectory for user next travel location prediction (2022)Fusing high-resolution multis…Predicting user’s next location using machine learning algorithms (2020)Predicting user’s next locati…Modeling Weather-Aware Prediction of User Activities and Future Visits (2020)Modeling Weather-Aware Predic…MIAC: A mobility intention auto‐completion model for location prediction (2018)MIAC: A mobility intention au…Users key locations in online social networks: identification and applications (2016)Users key locations in online…Location-based big data analytics for guessing the next Foursquare check-ins (2016)Location-based big data analy…A user-personalized model for real time destination and route prediction (2016)A user-personalized model for…Acquisition and Use of Mobility Habits for Personal Assistants (2015)Acquisition and Use of Mobili…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)Reality mining: sensing complex social systems (2005)Modelling the scaling properties of human mobility (2010)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)Mapping the world's photos (2009)Find me if you can (2010)Online Social Networks: Threats and Solutions (2014)Processing Social Media Messages in Mass Emergency (2015)Exploring Millions of Footprints in Location Sharing Services (2021)Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy (1997)Birds of a Feather: Homophily in Social Networks (2001)Friendship and mobility (2011)Birds of a feather locate together? Foursquare checkins and personality homophily (2016)Mining online footprints to predict user’s next location (2016)Modeling Spatial Trajectories With Attribute Representation Learning (2020)Handling big data: research challenges and future directions (2016)A Location Analytics Method for the Utilisation of Geotagged Photos in Travel Marketing Decision-Making (2019)Venue-Popularity Prediction Using Social Data Participatory Sensing Systems and RNNs (2020)A Scaled Difference Chi-Square Test Statistic for Moment Structure Analysis (2001)Motivation and Justification: A Dual‐Process Model of Culture in Action (2009)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting Future Location Categories of Users in a Large Social Platform (2023)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Tourist Attractions Prediction with Enhanced Location Knowledge Graph (2023)Predicting the Next Location of Urban Individuals via a Representation-Enhanced Multi-View Learning Network (2025)Understanding human activity patterns based on space-time-semantics (2016)An exploration of the interaction between urban human activities and daily traffic conditions: A case study of Toronto, Canada (2018)Mobile crowd location prediction with hybrid features using ensemble learning (2018)DeepAGS: Deep learning with activity, geography and sequential information in predicting an individual's next trip destination (2024)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2010Limits of Predictability in Human Mobility3,230 cited
  • 2010You are where you tweet1,069 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2012Beyond "local", "categories" and "friends"63 cited
  • 2013Where to go from here? Mobility prediction from instantaneous information48 cited

Cited by

  • 2016Location-based big data analytics for guessing the next Foursquare check-ins14 cited
  • 2020Predicting user’s next location using machine learning algorithms13 cited
  • 2020Modeling Weather-Aware Prediction of User Activities and Future Visits12 cited
  • 2022Fusing high-resolution multispectral image with trajectory for user next travel location prediction12 cited
  • 2015Acquisition and Use of Mobility Habits for Personal Assistants9 cited
  • 2016A user-personalized model for real time destination and route prediction8 cited
  • 2018MIAC: A mobility intention auto‐completion model for location prediction5 cited
  • 2022https://www.ijmtst.com/vol8issue09.html4 cited
  • 2016Users key locations in online social networks: identification and applications

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3 cited