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SYSTEM AND METHOD FOR ISSUING A LOAN TO A CONSUMER DETERMINED TO BE CREDITWORTHY AND WITH BAD DEBT FORECAST

机译:向消费者发出贷款的系统和方法,决定被信誉和债务不良预测

摘要

A system and method determines the creditworthiness of a consumer and issues a loan and generates a behavioral profile for that consumer. An initial set of data is acquired from the consumer that includes non-identification attributes without obtaining a full name, a credit card number, a passport number, or a government issued ID number that allows identification of the consumer. A user ID number matches the initial set of data to a physical user in a transaction database. A credit score based on the average credit among a plurality of user profiles is matched to determine a maximum credit for the consumer. A machine learning model may be applied to stored consumer loan data to determine when the consumer requires an increase in the maximum allowed credit and the risk involved with increasing the maximum allowed credit.
机译:系统和方法确定消费者的信誉,并发出贷款,并为该消费者提供行为概况。从消费者获取初始数据集,该数据包括在不获取全名,信用卡号码,护照号码或政府颁发的身份证号码的情况下,包括允许识别消费者。用户ID号与事务数据库中的物理用户匹配的初始数据。基于多个用户配置文件之间的平均信用的信用评分与消费者确定最大的信誉。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的信用,并且随着增加最大允许的信用额所涉及的风险。

著录项

  • 公开/公告号US2021097603A1

    专利类型

  • 公开/公告日2021-04-01

    原文格式PDF

  • 申请/专利权人 MO TECNOLOGIAS LLC;

    申请/专利号US202017106305

  • 申请日2020-11-30

  • 分类号G06Q40/02;G06Q20/36;G06N20;

  • 国家 US

  • 入库时间 2022-08-24 18:01:18

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