The invention provides a task learning method and system based on user habits and electronic equipment, which are applied to an application layer and comprise the following steps: acquiring a data set of the user habits; generating an automatic task corresponding to the user habit based on the data set of the user habit; obtaining trigger condition information corresponding to the automatic task; and under the condition that the triggering condition information meets a preset condition, calling a corresponding service in a service layer to execute an automatic task corresponding to the user habit. According to the task learning method based on the user habits, by generating the automatic task corresponding to the user habits, an intelligent task service conforming to the user habits is provided for the user in subsequent operation, the requirements of different users for OEM intelligent control are met, the driving experience feeling is improved, and convenience is provided for driving safety management.
本申请提供一种基于用户习惯的任务学习方法、系统及电子设备,应用于应用层,包括:获取用户习惯的数据集;基于所述用户习惯的数据集,生成所述用户习惯对应的自动任务;获取所述自动任务对应的触发条件信息;在所述触发条件信息符合预设条件的情况下,调用服务层内对应的服务,以执行所述用户习惯对应的自动任务。本申请实施例的基于用户习惯的任务学习方法通过生成与用户习惯对应的自动任务,为用户在之后操作中,提供一种符合用户习惯的智能任务服务,满足了不同用户对于OEM智能操控的需求,提升了驾乘体验感,为驾驶的安全管理提供了便捷。
Task learning method and system for user habits and electronic equipment
用户习惯的任务学习方法、系统及电子设备
2024-04-19
Patent
Electronic Resource
Chinese
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