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Identifying potential solutions for abnormal events based on historical data

机译:根据历史数据确定异常事件的潜在解决方案

摘要

Techniques for identifying potential solutions for abnormal events based on historical data are described. One example method includes obtaining interaction data between a client device and a server; determining whether an abnormal event exists in the obtained interaction data; in response to determining, obtaining attribute information of a user corresponding to the client device from the obtained interaction data; identifying one or more records in a database, each record including the attribute information, a cause of one or more previous abnormal events, and a weight characterizing a severity of the previous abnormal events; determining a cause of the abnormal event, wherein the determined cause is the same as the cause of the previous abnormal events from the record in the identified one or more records that includes a largest weight; and providing a solution to address the abnormal event based on the determined cause.
机译:描述了基于历史数据识别异常事件的潜在解决方案的技术。一种示例方法包括:获得客户端设备与服务器之间的交互数据;以及确定获取的交互数据中是否存在异常事件;响应于确定,从获取的交互数据中获取客户端设备对应的用户的属性信息;识别数据库中的一个或多个记录,每个记录包括属性信息,一个或多个先前异常事件的起因以及表征先前异常事件的严重性的权重;确定异常事件的原因,其中,所确定的原因与所识别的一个或多个包括最大权重的记录中的记录的先前异常事件的原因相同;并基于确定的原因提供解决异常事件的解决方案。

著录项

  • 公开/公告号US10678624B2

    专利类型

  • 公开/公告日2020-06-09

    原文格式PDF

  • 申请/专利权人 ALIBABA GROUP HOLDING LIMITED;

    申请/专利号US201815975602

  • 发明设计人 LU LIU;

    申请日2018-05-09

  • 分类号G06F11/07;G06F16/958;G06F16;

  • 国家 US

  • 入库时间 2022-08-21 11:26:46

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