E-commerce discount coupon use probability prediction method based on integrated model
An integrated model and probability prediction technology, applied in business, data processing applications, character and pattern recognition, etc., can solve problems such as inability to meet e-commerce coupon usage probability, large generalization error, and easy overfitting of a single classification model. , to achieve the effect of improving prediction accuracy, reducing operating costs, and reducing generalization errors
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[0031] Such as figure 1 Shown is the flow chart of the method for predicting the use probability of electric business coupons based on the integrated model of the present invention, including the following steps:
[0032] S1. Count the online and offline historical consumption data of the user and perform preprocessing, the preprocessing includes eliminating data whose missing rate exceeds a set threshold and filling missing data to obtain a first data set;
[0033] S2. Perform feature extraction on the data in the first data set in step S1 to obtain the features to be analyzed, and construct a feature system, which includes merchant features, coupon features, user features, user and merchant combination features, and other features; Features, coupon features, user features, user-merchant combination features, and other features are listed in Table 1, Table 2, Table 3, Table 4, and Table 5 respectively;
[0034] Table 1 Merchant features include a list of features
[0035] ...
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