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电商为了提高服务质量,加快发货速度,在用户下单前通过分析用户以往的购买历史行为以及其他顾客对该商品购买的历史行为的海量数据,估计顾客购买该商品的概率,然后依据此概率的大小决定是否在用户下单前提前发货。为了预测顾客下单的概率,本文构建了相关模型。鉴于模型比较复杂,本文简化模型,使用Logistic模型判断顾客是否会下单,然后决定是否提前发货。
In order to improve the quality of service and speed up the delivery, the e-commerce provider estimates the customer’s probability of purchasing the product by analyzing the user’s past purchasing history behavior and other customers’ historical data about the historical behavior of the customer before placing an order Probability of the size of the decision whether the user prior to the order delivery. In order to predict the probability of customer orders, this article builds a correlation model. In view of the complexity of the model, the paper simplifies the model and uses the Logistic model to determine whether the customer will place an order before deciding whether to ship it in advance.