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CREDIT SCORING METHOD AND SERVER

机译:信用评分方法和服务器

摘要

A credit scoring method and a server are provided. The method includes: determining at least one target user set in a plurality of user sets. The at least one target user set includes first behavior-unknown users whose predicted profit values are higher than second behavior-unknown users, the second behavior-unknown users are users other than the first behavior-unknown users on an application platform. The method also includes determining credit scores of first behavior-unknown users according to credit scores of behavior-known users in at least one determined target user set; obtaining first user samples from the first behavior-unknown users according to credit records of the first behavior-unknown users, the first user samples having profit values that satisfy a preset threshold; and performing credit scoring for a user according to a second scoring model obtained through training a first scoring model according to the first user samples and second user samples.
机译:提供了一种信用评分方法和服务器。 该方法包括:确定在多个用户集中设置的至少一个目标用户。 该至少一个目标用户组包括第一行为的未知用户,其预测的利润值高于第二行为的用户,第二行为 - 未知用户是应用平台上第一行为的未知用户之外的用户。 该方法还包括根据至少一个确定的目标用户集中的行为已知用户的信用评分确定第一行为未知用户的信用评分; 根据第一行为的用户的信用记录从第一行为未知用户获得第一用户样本,第一用户样本具有满足预设阈值的利润值; 根据通过根据第一用户样本和第二用户样本训练第一评分模型获得的第二评分模型对用户执行信用评分。

著录项

  • 公开/公告号US2022005117A1

    专利类型

  • 公开/公告日2022-01-06

    原文格式PDF

  • 申请/专利权人 TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED;

    申请/专利号US202117478858

  • 发明设计人 XIN LI;

    申请日2021-09-17

  • 分类号G06Q40/02;G06N5/04;

  • 国家 US

  • 入库时间 2024-06-14 22:39:37

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