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    • 2. 发明申请
    • NETWORK-BASED AUTOMATED PREDICTION MODELING
    • 基于网络的自动预测建模
    • WO2018027064A1
    • 2018-02-08
    • PCT/US2017/045351
    • 2017-08-03
    • XERO LIMITED
    • GRIGG, AlastairKEMKA, Martin
    • G06Q30/00
    • Methods, systems, and computer programs are presented for generating action scores based on the performance of entities to determine action probabilities. One method includes an operation for accessing data comprising transactions exchanged between entities. The method further includes generating performance values for each entity based on the data, and generating, for each entity, an action score that is an indication of past performance of the entity with respect to the performance values. The method further includes receiving a request, from a user, for action probabilities regarding an event associated with a first entity, each action probability being a probability that another entity responds to the event within a predetermined time frame, determining related entities associated with the event, and determining the action probability for each entity based on the action score of the related entity. The action probabilities are presented within a graphical user interface.
    • 提供方法,系统和计算机程序,用于基于实体的性能来生成动作分数以确定动作概率。 一种方法包括访问包括在实体之间交换的事务的数据的操作。 该方法进一步包括基于数据为每个实体生成性能值,并且为每个实体生成作为该实体相对于性能值的过去表现的指示的动作分数。 该方法还包括接收来自用户的关于与第一实体相关联的事件的动作概率的请求,每个动作概率是另一实体在预定时间帧内响应该事件的概率,确定与该事件相关联的相关实体 ,并且基于相关实体的行动分数来确定每个实体的行动概率。 动作概率在图形用户界面中呈现。