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SELF-LEARNING, CONTEXT AWARE VIRTUAL ASSISTANTS, SYSTEMS AND METHODS

机译:自学,上下文感知虚拟助手,系统和方法

摘要

A virtual assistant learning system is presented. A monitoring device, a cell phone for example, observes user interactions with an environment by acquiring sensor data. The monitoring device uses the sensor data to identify the interactions, which in turn is provided to an inference engine. The inference engine leverages the interaction data and previously stored knowledge elements about the user to determine if the interaction exhibits one or more user preferences. The inference engine can use the preferences and interactions to construct queries targeting search engines to seek out possible future interactions that might be of interest to the user.
机译:提出了虚拟助手学习系统。监视设备(例如手机)通过获取传感器数据来观察用户与环境的交互。监视设备使用传感器数据来识别交互,然后将交互提供给推理引擎。推理引擎利用交互数据和先前存储的有关用户的知识元素来确定交互是否表现出一个或多个用户偏好。推理引擎可以使用首选项和交互来构造针对搜索引擎的查询,以找出用户可能感兴趣的未来可能的交互。

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