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SYSTEM AND METHOD FOR INFERRING SOCIAL INFLUENCE NETWORKS FROM TRANSACTIONAL DATA

机译:从交易数据推断社会影响力网络的系统和方法

摘要

A system and method for inferring social influence networks from transactional data are provided. Raw transactional data having transaction entries reflecting customer transactions is provided to a processor and translated into internal data. Computer nodes within the system draw a number of randomized samples from the internal data based on a sample number and sample size determined by the processor to promote computational efficiency and accuracy. The computer nodes create a social influence network having links therein representing inferred customer-to-customer purchasing influence. The processor aggregates the social influence network of each sample to create a global social influence network that evidences the purchasing influence of customers within the raw transactional data. The processor may assign a social influence value to customers represented within the raw transactional data by analyzing the global social influence network.
机译:提供了一种用于从交易数据推断社会影响力网络的系统和方法。具有反映客户交易的交易条目的原始交易数据被提供给处理器并转换成内部数据。系统内的计算机节点根据处理器确定的样本数量和样本大小,从内部数据中抽取大量随机样本,以提高计算效率和准确性。所述计算机节点创建其中具有表示推断的顾客对顾客购买影响力的链接的社会影响力网络。处理器汇总每个样本的社交影响力网络,以创建一个全球社交影响力网络,以证明客户在原始交易数据中的购买影响力。处理器可以通过分析全球社会影响力网络来向在原始交易数据内表示的顾客分配社会影响力值。

著录项

  • 公开/公告号US2017300937A1

    专利类型

  • 公开/公告日2017-10-19

    原文格式PDF

  • 申请/专利权人 BIDDROCKET INC.;

    申请/专利号US201715488284

  • 发明设计人 BRIAN LEY;ASHTON VERDERY;

    申请日2017-04-14

  • 分类号G06Q30/02;G06Q50/00;

  • 国家 US

  • 入库时间 2022-08-21 13:52:17

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