XGBoost financial product recommendation method based on customer information completion
A financial product and customer information technology, applied in finance, resources, marketing, etc., can solve the problem of low accuracy of product recommendation results, achieve accurate recommendation results, comprehensive index system, and improve accuracy
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[0023] Such as figure 1 As shown, the method for recommending financial products with missing information in the present invention includes the following steps:
[0024] (10) Establishment of the model index system: Based on the business transaction data between the enterprise and the bank, a recommended model index system is established, and the index items include customer financial data and customer non-financial data;
[0025] (20) Sample set construction: According to the model index system, customer information is collected, and the recommendation model training sample set and test sample set are constructed.
[0026] For example, take the collected historical data of financial indicators as sample data. According to Table 1 and Table 2, 33 financial indicators and 6 non-financial indicators are selected to form the 39-dimensional feature vector of the recommendation model. The data of 6,000 companies are randomly selected as training samples, and the data of 1,500 comp...
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