METHOD FOR PREDICTING INSURANCE PURCHASING BEHAVIOR OF A USER, DEVICE, COMPUTING APPARATUS, AND MEDIUM

摘要

A solution of the present application provides a method for predicting insurance purchasing behavior of a user, a device, a computing apparatus, and a medium applicable to the field of Internet technology. The method comprises: acquiring feature data of a sample user from a user attribute database; performing pre-processing on the feature data, and removing noisy data to obtain pre-processed data; building a learning model according to the pre-processed data; on the basis of the learning model, performing behavior prediction on a first-type user to undergo prediction, so as to obtain a target insurance product for the first-type user; and pushing the first-type user to a second-type user so as to enable the second-type user to determine that the first-type user is a target user of the target insurance product. The solution realizes accurate prediction of insurance products of interest to users, thereby ensuring efficient and accurate prediction of user insurance purchasing behaviors and improving the level of smart predictions, while also enabling insurance personnel to timely recognize users with a high-purchasing potential, increasing sales efficiency and success rates.