首页> 外国专利> MACHINE LEARNING TECHNIQUES FOR EVALUATING ENTITIES

MACHINE LEARNING TECHNIQUES FOR EVALUATING ENTITIES

机译:评估实体的机器学习技术

摘要

Systems, methods, apparatuses, and computer program products for evaluating and/or rating entities using machine learning techniques are provided. One method may include receiving, by a computer system, identifying information for an entity and collecting data relating to the entity from at least one of public data sources or private data sources. The method may further include determining and producing data that is actually relevant to the entity, and classifying the relevant data into different areas of risk associated with the entity. The method may also include using the relevant data, different areas of risk associated with the entity, and information regarding risk attributes of the entity to determine and assign, through an entity risk model, a risk score for the entity, and outputting the risk score for the entity to a device of an end user.
机译:提供了用于使用机器学习技术评估和/或评级实体的系统,方法,装置和计算机程序产品。一种方法可以包括由计算机系统接收用于实体的标识信息,并从公共数据源或私有数据源中的至少一个收集与该实体有关的数据。该方法可以进一步包括确定和产生与该实体实际相关的数据,以及将该相关数据分类为与该实体相关联的不同风险区域。该方法还可以包括使用相关数据,与该实体相关联的不同风险区域以及关于该实体的风险属性的信息,以通过实体风险模型来确定和分配该实体的风险评分,以及输出该风险评分。将实体提供给最终用户的设备。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号