基于GBDT的优惠券使用预测研究  

Research on Coupon Usage Prediction based on GBDT

作　　者：祝焦焦 吕国[1] 孙皓月[1] 张弛 白振荣 ZHU Jiao-jiao;LV Guo;SUN Hao-yue;ZHANG Chi;BAI Zhen-rong(Hebei Institute of Architecture and Civil Engineering,Zhangjiakou,Hebei 075000)

机构地区：[1]河北建筑工程学院,河北张家口075000

出　　处：《河北建筑工程学院学报》2022年第2期201-204,共4页Journal of Hebei Institute of Architecture and Civil Engineering

摘　　要：随着互联网在各行各业中的高速发展,网上消费不仅为人们带来了便利,也成为了主流的消费方式,许多商家通过发放优惠券的方式吸引消费者。基于GBDT模型对优惠券使用预测进行研究。首先对客户获取优惠券的记录进行数据预处理;其次进行特征构建;再次将相关联的特征进行拼接;然后进行模型训练;最后对测试样本进行预测和分析,得到我们所需的预测结果,实现对消费者获得优惠券后是否使用进行预测,对预测结果进行分析,达到促进销售、提高客流量的目标。With the rapid development of the Internet in all walks of life,online consumption has not only brought convenience for people,but also become the mainstream way of consumption.Many businesses attract consumers by issuing coupons.This paper studies the prediction of coupon usage based on GBDT model.Firstly,data preprocessing is carried out on the record of customer obtaining coupons.Secondly,feature construction is carried out.The associated features are spliced again;Then the model is trained.Finally,the test samples are predicted and analyzed to obtain the prediction results we need,so as to predict whether consumers will use coupons after they get them.Then,the prediction results are analyzed,achieving the goal of promoting sales and increasing customer flow.

关 键 词：PYTHON 优惠券使用预测 GBDT 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]