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SYSTEMS AND METHODS FOR IMPROVING USER ENGAGEMENT IN MACHINE LEARNING CONVERSATION MANAGEMENT USING GAMIFICATION

机译:利用社交化提高机器学习会话管理中用户参与度的系统和方法

摘要

Systems and methods for more effective AI operations, improvements to the experience of a conversation target, and increased productivity through AI assistance are provided. In some embodiments, the systems use machine learning models to classify a number of message responses with a confidence. If these classifications are below a threshold the messages are sent to a user for analysis, after prioritization, along with guidance data. Feedback from the user modified the models. In another embodiment, a system and method for an AI assistant is also provided which receives messages and determines instructions using keywords and/or classifications. The AI assistant then executes upon these instructions. In another embodiment, a conversation editor interface is provided. The conversation editor includes one or more displays that illustrate an overview flow diagram for the conversation, specific node analysis, libraries of conversations and potentially metrics that can help inform conversation flow. Lastly, task gamification may additionally be employed in order to increase the messaging system's performance.
机译:提供了用于更有效的AI操作,改善对话目标的体验以及通过AI辅助提高生产力的系统和方法。在一些实施例中,系统使用机器学习模型来对多个消息响应进行置信度分类。如果这些分类低于阈值,则会在优先级确定后将消息与指导数据一起发送给用户进行分析。用户的反馈修改了模型。在另一个实施例中,还提供了一种用于AI助手的系统和方法,该系统和方法接收消息并使用关键字和/或分类来确定指令。然后,AI助手将根据这些指令执行。在另一个实施例中,提供了对话编辑器界面。对话编辑器包括一个或多个显示器,这些显示器说明了对话的概述流程图,特定节点分析,对话库以及可以帮助告知对话流的潜在度量。最后,可以额外采用任务游戏化,以提高消息传递系统的性能。

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