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C. The system and method of lending to consumers with certain credit

机译:C.向具有一定信用的消费者提供贷款的系统和方法

摘要

A system and method determine the credit level of consumers, issue loans, and create a behavior mode for consumers. Buying a set of original consumer data, including non identity features, but without a complete name, credit card number, passport number or government issued ID number, the consumer cannot be identified. A user's ID number matches the original dataset, an actual user in the transaction database. A credit card score based on average credit is entered into a profile of multiple users.Cidir is used to determine the upper limit of consumer credit. Machine learning model can be applied to the stored consumer loan data to determine when consumers need to increase the maximum allowable credit and the risks involved in increasing the maximum allowable credit.
机译:一种确定消费者的信用等级,发放贷款并为消费者创建行为模式的系统和方法。购买一组原始的消费者数据,包括非身份功能,但没有完整的姓名,信用卡号,护照号码或政府发行的ID号,则无法识别消费者。用户的ID号与原始数据集匹配,即交易数据库中的实际用户。将基于平均信用的信用卡分数输入多个用户的配置文件中。Cidir用于确定消费者信用的上限。机器学习模型可以应用于存储的消费者贷款数据,以确定消费者何时需要增加最大允许信贷以及增加最大允许信贷所涉及的风险。

著录项

  • 公开/公告号CO2019013854A2

    专利类型

  • 公开/公告日2020-01-17

    原文格式PDF

  • 申请/专利权人 MO TECNOLOGIAS LLC;

    申请/专利号CO20190013854

  • 申请日2019-12-10

  • 分类号G06Q40/02;G06N99;G06Q20/24;G06Q20/36;G06Q20/40;

  • 国家 CO

  • 入库时间 2022-08-21 11:17:59

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