Mobile banking marketing customer screening method fusing multiple machine learning models
A machine learning model and mobile banking technology, applied in marketing, integrated learning, instruments, etc., can solve problems such as insufficient precision, and achieve the effect of improving corporate profits, increasing customer activity, and promoting loyalty
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[0036] The method of the present invention will be further described below in conjunction with the accompanying drawings and preferred specific embodiments of the present invention.
[0037] refer to figure 1 As shown in the present invention, a mobile banking marketing customer screening method that integrates multiple machine learning models includes the following steps:
[0038] Step S1, data preparation, including acquisition of customer social attributes, financial product holdings, bank-related business opening and usage tag data, mobile banking historical usage data and mobile banking marketing records;
[0039] Step S2, active label generation, according to the mobile banking marketing records, distinguish the customer's mobile banking transactions into active active transactions and marketing response transactions, and then mark whether the customer is active and marketing responsive;
[0040] According to the marketing records of mobile banking, the specific method ...
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