We conducted a comprehensive review of the literature by adopting a detailed search strategy, followed by a meta-analysis on prediction accuracy. To efficiently facilitate such a model tuning process, this study attempts to summarize the relationship between the prediction accuracy of deep learning models and the factors which influence it. Moreover, the accuracy level also depends on other factors such as the type of data, sample size, region of data collection, and time of prediction.
“A Tale of Two Cities-A Buying Behavior Perspective,” Advances in Consumer Research, 1999.Deep learning methods are being increasingly applied in transport studies, while the methods require modellers to go through a try-and-error model tuning process particularly on choosing neural network structure. “Melodies and Counterpoints: American Thanksgiving and the Chinese Moon Festival,” Advances in Consumer Research, 1998.“The Wisdom of Two Sages: Design Business Model by Combining Sun Tzu and Confucius,” (w/ William D.Her interests include advertising effectiveness, e-commerce, IT usage and cross-culture consumer behavior.
Her research has been published in Journal of Advertising, Journal of Advertising Research, Journal of Interactive Advertising and Asian Journal of Communication. She also serves on the advertising research committee of the American Academy of Advertising. She is a member of Association of Consumer Research and American Marketing Association. Professor Chen’s research interests include advertising effectiveness, e-commerce, IT usage and cross-culture consumer behavior. Prior to that, she had years of industry experience in Hong Kong and Germany. from the University of Minnesota at Twin Cities. PhD 2001, University of Minnesota (Twin Cities) MA 1999, University of Minnesota (Twin Cities)
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