User conversion rate prediction method and related equipment

The invention provides a user conversion rate prediction method and related equipment, and the method comprises the steps: training a random delay parameter which is not converted by a user in business and is instantaneously constructed and features of the user by a machine learning mode, obtaining a prediction model, and obtaining a more precise conversion rate when predicting the conversion rate of the user by the prediction model; The method also comprises the steps of determining features of a target user; determining an exposure moment of the target service; determining an actual delay parameter of the target user according to the exposure moment of the target service and the current moment; determining the conversion rate of the target user in the target service based on the actual delay parameter of the target user, the features of the target user and a prediction model, wherein the prediction model is obtained by training a training sample, and the training sample comprises the features of M users and