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Next place prediction in unfamiliar places considering contextual factors
7 references·3 citing·32 second hop
Next place prediction in unfamiliar places considering contextual factors (2017)Next place prediction in unfamiliar place…Topological Properties and Temporal Dynamics of Place Networks in Urban Environments (2015)Topological Properties and Te…CEPR (2015)CEPRMining User Mobility Features for Next Place Prediction in Location-Based Services (2012)Mining User Mobility Features…Friendship and mobility (2011)Friendship and mobilityMapping the world's photos (2009)Mapping the world's photosUnderstanding 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…Tourist Transition Model among Tourist Attractions based on GPS Trajectory (2021)Tourist Transition Model amon…Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain (2018)Pedestrians Complex Behavior …Mobile Users Location Prediction with Complex Behavior Understanding (2018)Mobile Users Location Predict…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)The Museum Wearable: real-time sensor-driven understanding of visitors' interests for personalized visually-augmented museum experiences (2002)Reality mining: sensing complex social systems (2005)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)Power-Law Distributions in Empirical Data (2009)SoCoMo marketing for travel and tourism: Empowering co-creation of value (2015)A Survey of Location Prediction on Twitter (2018)Power-law distributions in empirical data (2018)Revisiting User Mobility and Social Relationships in LBSNs: A Hypergraph Embedding Approach (2019)A Computer Movie Simulating Urban Growth in the Detroit Region (1970)Limits of Predictability in Human Mobility (2010)Spatiotemporal Sequential Influence Modeling for Location Recommendations (2015)Human Mobility Synchronization and Trip Purpose Detection with Mixture of Hawkes Processes (2017)Survey on user location prediction based on geo-social networking data (2020)Birds of a Feather: Homophily in Social Networks (2001)Modeling User Activity Preference by Leveraging User Spatial Temporal Characteristics in LBSNs (2014)Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts (2016)DeepMove (2018)Next place prediction using mobility Markov chains (2012)Approaching the Limit of Predictability in Human Mobility (2013)Big data: From beginning to future (2016)Pedestrians Trajectory Prediction in Urban Environments (2019)Discovering human places of interest from multimodal mobile phone data (2010)A hybrid Markov-based model for human mobility prediction (2017)Discovering and Characterizing Mobility Patterns in Urban Spaces (2016)Emergence of encounter networks due to human mobility (2017)The Role of Urban Mobility in Retail Business Survival (2018)You are where you tweet (2010)Measuring human perceptions of a large-scale urban region using machine learning (2018)
this work references cited by second hop

References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2011Friendship and mobility2,912 cited
  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2009Mapping the world's photos782 cited
  • 2012Mining User Mobility Features for Next Place Prediction in Location-Based Services336 cited
  • 2015CEPR83 cited
  • 2015Topological Properties and Temporal Dynamics of Place Networks in Urban Environments49 cited

Cited by

  • 2018Mobile Users Location Prediction with Complex Behavior Understanding8 cited
  • 2021Tourist Transition Model among Tourist Attractions based on GPS Trajectory6 cited
  • 2018Pedestrians Complex Behavior Understanding and Prediction with Hybrid Markov Chain6 cited

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