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AdNext (2011)AdNextUsing GPS to learn significant locations and predict movement across multiple users (2003)Using GPS to learn significan…Inferring High-Level Behavior from Low-Level Sensors (2003)Inferring High-Level Behavior…Advertising: Principles & Practice (1989)Advertising: Principles & Pra…Universal scaling laws of collective human flow patterns in urban regions (2020)Universal scaling laws of col…Personal destination pattern analysis with applications to mobile advertising (2016)Personal destination pattern …VisitSense: Sensing Place Visit Patterns from Ambient Radio on Smartphones for Targeted Mobile Ads in Shopping Malls (2015)VisitSense: Sensing Place Vis…Automated Experimentation in Walden 3.0. : The Next step in Profiling, Predicting, Control and Surveillance (2014)Automated Experimentation in …Understanding customer malling behavior in an urban shopping mall using smartphones (2013)Understanding customer mallin…The Framing of Decisions and the Psychology of Choice (1981)Vehicles: Experiments in Synthetic Psychology. (1986)Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Problems with research methods in medical device big data analytics (2019)The Ethics of Computational Social Science (2023)Limits of Predictability in Human Mobility (2010)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)Why We Buy: The Science of Shopping--Updated and Revised for the Internet, the Global Consumer, and Beyond (2008)Understanding customer behavior using indoor location analysis and visualization (2014)DeepStore: Understanding Customer Behaviors in Unmanned Stores (2020)Smart and Sentient Retail High Streets (2022)Challenges and business models for mobile location-based services and advertising (2011)Evaluating mobility models for temporal prediction with high-granularity mobility data (2012)Next place prediction using mobility Markov chains (2012)Understanding individual human mobility patterns (2008)Power-Law Distributions in Empirical Data (2009)Power-law distributions in empirical data (2018)A vector field approach for identifying anomalous human mobility (2022)Spatiotemporal flow force model of source/sink human mobilities within city (2023)A generalized vector-field framework for mobility (2024)Learning transportation mode from raw gps data for geographic applications on the web (2008)Eigenbehaviors: identifying structure in routine (2009)Understanding transportation modes based on GPS data for web applications (2010)INTERNET USES AND GRATIFICATIONS: A Structural Equation Model of Interactive Advertising (2005)The ad creativity cube: conceptualization and initial validation (2007)The Development of Hierarchy of Effects Model in Advertising (2012)
this work references cited by second hop

References

  • 2003Using GPS to learn significant locations and predict movement across multiple users1,060 cited
  • 2003Inferring High-Level Behavior from Low-Level Sensors521 cited
  • 1989Advertising: Principles & Practice228 cited

Cited by

  • 2013Understanding customer malling behavior in an urban shopping mall using smartphones39 cited
  • 2014Automated Experimentation in Walden 3.0. : The Next step in Profiling, Predicting, Control and Surveillance31 cited
  • 2020Universal scaling laws of collective human flow patterns in urban regions17 cited
  • 2015VisitSense: Sensing Place Visit Patterns from Ambient Radio on Smartphones for Targeted Mobile Ads in Shopping Malls6 cited
  • 2016Personal destination pattern analysis with applications to mobile advertising4 cited

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