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Prediction of O2O Coupon Usage Based on XGBoost Model

Published:18 November 2020Publication History

ABSTRACT

Precise and personalized coupon distribution is an important marketing method for merchants. A proper coupon distribution strategy can improve user experience and promote re-consumption. In this paper, an O2O coupon usage prediction model based on XGBoost is proposed. The experiment shows that the AUC value of XGBoost model is 0.82, which is better than random forest and logistic regression. The model can help merchants to develop the coupon distribution strategy purposefully and accurately locate the target population.

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  • Published in

    cover image ACM Other conferences
    ICEME '20: Proceedings of the 2020 11th International Conference on E-business, Management and Economics
    July 2020
    312 pages
    ISBN:9781450388016
    DOI:10.1145/3414752

    Copyright © 2020 ACM

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    New York, NY, United States

    Publication History

    • Published: 18 November 2020

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