High-risk user detection method, computing device and readable storage medium

The invention discloses a high-risk user detection method, computing equipment and a readable storage medium, and the method comprises the steps: obtaining a first data sample of a first user, the first data sample comprising registration behavior characteristics and login behavior characteristics of the first user; inputting the first data sample into a trained detection model, and outputting a probability value for predicting that the first user belongs to a high-risk user as a first risk score; obtaining expert rules of the target marketing activity and behavior characteristics of the first user in the target marketing activity; evaluating behavior characteristics of the first user in the target marketing activity based on the obtained expert rule to obtain a second risk score; and determining whether the first user is a high-risk user based on the first risk score and the second risk score. According to the technical scheme, the advantages of the detection model and the expert rule are combined, and the s