Purchase prediction method and related device thereof

A method for model training, wherein the method comprises:

• obtaining information associated with a user;
• processing the information by using a to-be-trained model to obtain a predicted purchase limit of the user, wherein processing the information by using the to-be-trained model comprises:
• performing feature extraction processing on the information to obtain a purchase probability of the user;
• performing first regression processing on the information to obtain a first purchase limit of the user;
• performing second regression processing on the information to obtain a second purchase limit of the user, wherein the first regression processing and the second regression processing are different regression processing;
• and
• obtaining the predicted purchase limit of the user based on the purchase probability, the first purchase limit, and the second purchase limit;
• obtaining a target loss based on the purchase probability, the first purchase limit, and the second purchase limit;
• and
• updating, based on the target loss, a parameter of the to-be-trained model until a model training condition is met to obtain a target model.

An apparatus for purchase prediction, wherein the apparatus comprises at least one memory and at least one processor, wherein the at least one memory stores programming instructions for execution by the at least one processor to:

• obtain information associated with a user;
• perform feature extraction processing on the information to obtain a purchase probability of the user;
• perform first regression processing on the information to obtain a first purchase limit of the user;
• perform second regression processing on the information to obtain a second purchase limit of the user, wherein the first regression processing and the second regression processing are different regression processing;
• and
• obtain a predicted purchase limit of the user based on the purchase probability, the first purchase limit, and the second purchase limit.