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Relationship-analysis system that generates a trust metric

机译:关系分析系统,用于生成信任度量

摘要

The current document is directed to a relationship-analysis system. The currently disclosed relationship-analysis system collects objective and subjective observations of participants, and their relationship, in an interaction or transaction. The objective and subjective observations are combined to generate an observation data set that is processed by a computational relationship-analysis system. The analysis produces a variety of different types of results, including trust metrics, and stores the results in memory and/or mass-storage for control of downstream analysis, reporting, and actions. Trust metrics provide a basis for carrying out numerous types of downstream actions and for generating recommendations and evaluations by various types of relationship-evaluation and relationship-management systems that employ the relationship-analysis system.
机译:当前文档被引导到关系分析系统。 目前披露的关系 - 分析系统收集了参与者的客观和主观观察,以及他们的关系,在互动或交易中。 目标和主观观察组合以生成由计算关系分析系统处理的观察数据集。 分析产生各种不同类型的结果,包括信任度量标准,并将内存和/或批量存储的结果存储用于控制下游分析,报告和动作。 信任指标为执行众多类型的下游措施提供了基础,并通过各种类型的关系 - 评估和采用关系分析系统的关系管理系统来生成建议和评估。

著录项

  • 公开/公告号US11139065B1

    专利类型

  • 公开/公告日2021-10-05

    原文格式PDF

  • 申请/专利权人 AFFECTIVE SOFTWARE INC.;

    申请/专利号US202016869251

  • 申请日2020-05-07

  • 分类号G16H80;G16H20/70;G06F17/16;G16H40/67;

  • 国家 US

  • 入库时间 2022-08-24 21:26:15

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