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A Method of Prediction of Coupon Usage based on Xgboost

机译:一种基于Xgboost的优惠券使用量预测方法

摘要

#$%^&*AU2020100702A420200611.pdf#####Abstract This invention is in field of marketing and retail industry, and serve as a new method to predict the probability of coupon usage powered by XGBoost algorithm. The invention aims to help the merchant to predict the number of coupons used by the user for a period of time in the future. the invention uses xgboost as a training model and uses the previously introduced source data, including four basic information of the user id merchant id coupon id preferential rate. With these algorithms and advantages, our program will eventually be able to predict the number of coupons users will use over time 1Data Set File Analyze Data Set File DetermineClaracteristic Pararnpter Input rnoostModel Train Mllm oodel Get Xgoot Key Parameter Use gostModel To predict Figure 1 1
机译:#$%^&* AU2020100702A420200611.pdf #####抽象本发明在市场营销和零售业领域中,并用于作为预测优惠券使用可能性的新方法由XGBoost算法提供支持。本发明旨在帮助商户预测用户使用的优惠券数量未来一段时间。本发明使用xgboost作为训练模型并使用先前介绍的源数据,包括用户ID,商户ID,优惠券ID的四个基本信息优惠利率。凭借这些算法和优势,我们的程序最终将能够预测优惠券的数量用户将逐渐使用1个数据集文件分析数据集文件确定特性参数输入rnoost模型火车Mllm oodel获取Xgoot密钥参数使用gostModel预测图11个

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