Resource continuous input evaluation method and device based on resource guarantee input relationship, and electronic equipment
A technology of resource input and resource, which is applied in the field of continuous resource input evaluation based on the resource guarantee input relationship, can solve the problem of not being able to predict the financial resource demand plan and time of individual users in advance, so as to improve the prediction accuracy of the model, reduce marketing costs, The effect of improving prediction accuracy
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Embodiment 1
[0056] Below, will refer to Figure 1 to Figure 6 The method for assessing the continuous input of resources in Embodiment 1 of the present invention is described. The method includes the following steps.
[0057] Step S101, acquiring historical sample data to establish a training sample data set.
[0058] Step S102, building a continuous resource input estimation model, and using the training data set for training.
[0059] Step S103, using the trained resource continuation investment estimation model to calculate the resource continuation evaluation value of the target user. The resource continuation evaluation value is used to represent the probability that the resource input person will give up resource input for the resource guarantee product.
no. 1 approach
[0061] refer to Figure 1 to Figure 3 , the first implementation of Example 1 of the present invention will be specifically described.
[0062] figure 1 It is a flow chart of an example of the method for assessing resource continuous investment in the first implementation of Example 1 of the present invention.
[0063] Such as figure 1 As shown, in step S101, historical sample data is obtained to establish a training sample data set. The historical sample data includes user attribute data, user behavior data, and resource continuous investment performance data. The user behavior data includes resource guarantee input relationship characteristic data , the continuous resource input performance data includes abandoned resource input data, non-continuous input resource data and connection methods.
[0064] For example, user attribute data includes information data such as gender, age, mobile phone number, and ID card number.
[0065] In this example, the user behavior data in...
no. 2 approach
[0109] refer to Figure 4 to Figure 6 , the second embodiment of Embodiment 1 of the present invention will be specifically described.
[0110] In this embodiment, the difference from the first embodiment is that the training data sets in step S401 and step S101 are different, and the ways of extracting data are different.
[0111] It should be noted that, for the same parts of the first embodiment and the second embodiment, in order to avoid repetition, the description of this part is omitted.
[0112] Such as Figure 4 As shown, in step S401, the historical sample data includes user attribute data, user interest information data and resource continuous investment performance data, and the user interest information data includes APP installation list information, subscription information, push information and address information.
[0113] It should be noted that, in other examples, the user interest information data includes APP installation list information, subscription i...
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