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Prediction of Next App in OS
3 references·0 citing·18 second hopsampled
Prediction of Next App in OS (2022)Prediction of Next App in OSMining smartphone data for app usage prediction and recommendations: A survey (2017)Mining smartphone data for ap…Understanding Consumer Intention to Use Mobile Services (2010)Understanding Consumer Intent…How Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation (2008)How Useful Is Bagging in Fore…Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology (1989)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention (2013)Investigating users’ perspectives on e-learning: An integration of TAM and IS success model (2015)Consumer attitude and intention to adopt mobile wallet in India – An empirical study (2019)The Combination of Forecasts (1969)Forecasting Using Principal Components From a Large Number of Predictors (2002)Macroeconomic Forecasting Using Diffusion Indexes (2002)Do macro variables, asset markets, or surveys forecast inflation better? (2007)Forecasting economic time series using targeted predictors (2008)Forecasting: theory and practice (2022)An Introduction to the Five‐Factor Model and Its Applications (1992)Reality mining: sensing complex social systems (2005)Habits make smartphone use more pervasive (2011)Identifying Indicators of Smartphone Addiction Through User-App Interaction (2019)User profiling from their use of smartphone applications: A survey (2019)You Are How You Use Apps: User Profiling Based on Spatiotemporal App Usage Behavior (2023)
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References

  • 2008How Useful Is Bagging in Forecasting Economic Time Series? A Case Study of U.S. Consumer Price Inflation197 cited
  • 2010Understanding Consumer Intention to Use Mobile Services176 cited
  • 2017Mining smartphone data for app usage prediction and recommendations: A survey90 cited

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