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- W3126828032 abstract "In the restaurant consumption market, with the rapid growth of the take-out industry relying on APP, it is more important to build the take-out key factor model and real-time prediction and recommendation by using the decision tree algorithm of machine learning. In this paper, significant variables were screened by ANOVA through questionnaire survey, and then a decision tree was established by CHAID algorithm. Finally, the three main businesses of the take-out industry are constructed: platform, restaurant and rider feature models. The empirical results show that “platform satisfaction, restaurant satisfaction and rider satisfaction” generate decision trees with 15 nodes at 3 levels, 18 nodes at 2 levels and 17 nodes at 4 levels, respectively. The average correctness is $R = 55.3%, 59.6% and 60.7%. The model prediction accuracy is ideal." @default.
- W3126828032 created "2021-02-15" @default.
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- W3126828032 date "2021-01-15" @default.
- W3126828032 modified "2023-09-26" @default.
- W3126828032 title "CHAID algorithm to analyze characteristics of take-out industry" @default.
- W3126828032 cites W1966602182 @default.
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- W3126828032 doi "https://doi.org/10.1109/iccece51280.2021.9342345" @default.
- W3126828032 hasPublicationYear "2021" @default.
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