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Dynamic response prediction for improved bot task processing

机译:动态响应预测可改善机器人任务处理

摘要

Systems and methods can be provided for predicting responses during communication sessions with network devices. In some implementations, systems and methods can facilitate predicting responses using machine learning techniques. Messages received through a platform can be stored in a repository. A machine learning model may be trained using the stored messages. When a terminal device is communicating with a network device in a communication session, the messages exchanged in the communication session and the machine learning model can be used to predict future responses in real-time. The predicted future responses can be presented at the terminal device. A predicted response can be selected at the terminal device. Upon selection, the selected predicted response is transmitted to the network device during the communication session.
机译:可以提供用于在与网络设备的通信会话期间预测响应的系统和方法。在一些实施方式中,系统和方法可以促进使用机器学习技术来预测响应。通过平台接收的消息可以存储在存储库中。可以使用所存储的消息来训练机器学习模型。当终端设备在通信会话中与网络设备通信时,在通信会话中交换的消息和机器学习模型可用于实时预测将来的响应。可以在终端设备处呈现预测的未来响应。可以在终端设备上选择预测的响应。根据选择,在通信会话期间将所选的预测响应发送到网络设备。

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