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PREDICTING AND PREVENTING NEGATIVE USER EXPERIENCE IN A NETWORK SERVICE

机译:预测和预防网络服务中的负面用户体验

摘要

A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.
机译:计算系统可以接收与用户对网络服务的体验相对应的事件数据。基于事件数据,系统可以生成与用户对网络服务的体验相对应的一组表示。可以通过在计算系统上执行的人工智能模型来分析和/或过滤表示,该人工智能模型可以预测用户在未来时间间隔的负面体验。基于这些预测,计算系统可以实施一组纠正措施,以将用户体验引向更积极的道路。

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