Amount recommendation method and device, computer equipment and storage medium

The invention relates to an amount recommendation method and apparatus, a computer device and a storage medium. The method comprises the steps of creating an initial model according to feature data influencing an amount input by a user; acquiring historical data influencing the amount input by the user to form a sample set, wherein the sample set comprises an amount gear label of the amount input by the user; training the initial model based on the sample set by using a random forest method to obtain a trained amount recommendation model; and outputting the amount gear recommendation value of the amount to be input by the current user according to the amount recommendation model. According to the method, the acceptability of the recommended value of the to-be-input amount by the user can be improved, the user stickiness is increased, and the user experience is improved. 本发明涉及一种金额推荐方法、装置、计算机设备和存储介质，所述方法包括：根据影响用户输入金额的特征数据创建初始模型；获取影响用户输入金额的历史数据组成样本集，所述样本集包括用户输入金额的金额档位标签；利用随机森林方法基于所述样本集对所述初始模型进行训练，得到训练后的金额推荐模型；根据