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Your Cart tells You
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Your Cart tells You (2016)Your Cart tells YouYou Are Where You Go (2015)You Are Where You GoInferring user demographics and social strategies in mobile social networks (2014)Inferring user demographics a…User demographics prediction based on mobile data (2013)User demographics prediction …Private traits and attributes are predictable from digital records of human behavior (2013)Private traits and attributes…You are who you know (2010)You are who you knowIncorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework (1997)Incorporating Demographic Var…Hidden depths: The effects of extrinsic data collection on consumer insurance contracts (2022)Hidden depths: The effects of…Estimating Multiple Socioeconomic Attributes via Home Location—A Case Study in China (2021)Estimating Multiple Socioecon…Inferring gender and age of customers in shopping malls via indoor positioning data (2019)Inferring gender and age of c…Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces (2018)Understanding the predictabil…Predicting attributes and friends of mobile users from AP-Trajectories (2018)Predicting attributes and fri…Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories (2017)Inferring Demographics and So…DeepMood (2017)DeepMoodMining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data (2016)Mining Shopping Patterns for …Conditional logit analysis of qualitative choice behavior (1972)A Probabilistic Choice Model for Market Segmentation and Elasticity Structure (1989)Sales Promotion: Concepts, Methods and Strategies (1990)Heterogeneity and purchase event feedback in choice models: An empirical analysis with implications for model building (1999)The impact of location factors on the attractiveness and optimal space shares of product categories (2000)Consumer satisfaction index: new practice and findings (2003)The Social Stratification of English in New York City. (1968)Understanding individual human mobility patterns (2008)Choosing the Right Home Location Definition Method for the Given Dataset (2015)Linking Users Across Domains with Location Data (2016)Computational socioeconomics (2019)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Predicting Personality Using Novel Mobile Phone-Based Metrics (2013)Predict Demographic Information Using Word2vec on Spatial Trajectories (2018)You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data (2020)Economic Action and Social Structure: The Problem of Embeddedness (1985)ArnetMiner (2008)Limits of Predictability in Human Mobility (2010)Understanding Mobile Traffic Patterns of Large Scale Cellular Towers in Urban Environment (2015)Sex differences in social focus across the life cycle in humans (2016)Birds of a Feather: Homophily in Social Networks (2001)Analyzing facebook privacy settings (2011)Online Social Networks: Threats and Solutions (2014)Online social networks security and privacy: comprehensive review and analysis (2021)The Satisfaction With Life Scale (1985)The international personality item pool and the future of public-domain personality measures (2005)Computational Social Science (2009)Automatic personality assessment through social media language. (2014)Tweeting From Left to Right (2015)Facebook language predicts depression in medical records (2018)A statistical theory of spatial distribution models (1967)Discovering regions of different functions in a city using human mobility and POIs (2012)Metagraph-Based Life Pattern Clustering With Big Human Mobility Data (2022)Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study (1999)The PHQ-9 (2001)A Brief Measure for Assessing Generalized Anxiety Disorder (2006)A survey on big data-driven digital phenotyping of mental health (2019)Cooperative Multimodal Approach to Depression Detection in Twitter (2019)Leveraging Routine Behavior and Contextually-Filtered Features for Depression Detection among College Students (2019)Inferring friendship network structure by using mobile phone data (2009)Inferring social ties from geographic coincidences (2010)IIoT Based Trustworthy Demographic Dynamics Tracking With Advanced Bayesian Learning (2022)Urban Knowledge Graph Aided Mobile User Profiling (2023)Gender differences in risk taking: A meta-analysis. (1999)Shopping intent recognition and location prediction from cyber-physical activities via wi-fi logs (2018)
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References

  • 2013Private traits and attributes are predictable from digital records of human behavior2,827 cited
  • 2010You are who you know668 cited
  • 2014Inferring user demographics and social strategies in mobile social networks203 cited
  • 2015You Are Where You Go167 cited
  • 1997Incorporating Demographic Variables in Brand Choice Models: An Indivisible Alternatives Framework101 cited
  • 2013User demographics prediction based on mobile data52 cited

Cited by

  • 2017DeepMood163 cited
  • 2018Understanding the predictability of user demographics from cyber-physical-social behaviours in indoor retail spaces26 cited
  • 2017Inferring Demographics and Social Networks of Mobile Device Users on Campus From AP-Trajectories21 cited
  • 2016Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data20 cited
  • 2022Hidden depths: The effects of extrinsic data collection on consumer insurance contracts19 cited
  • 2019Inferring gender and age of customers in shopping malls via indoor positioning data18 cited
  • 2021Estimating Multiple Socioeconomic Attributes via Home Location—A Case Study in China9 cited
  • 2018Predicting attributes and friends of mobile users from AP-Trajectories7 cited

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