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    • 1. 发明申请
    • CONTEXTUAL MODEL-BASED EVENT RESCHEDULING AND REMINDERS
    • 基于模型的基于事件的事件再次提醒和提醒
    • WO2017222695A1
    • 2017-12-28
    • PCT/US2017/033339
    • 2017-05-18
    • INTEL CORPORATION
    • SOFFER, Ronen AharonVAINAS, OdedILAN, GiliSAGI, NoamGREENFELD, Merav
    • H04M1/725H04M3/487
    • G06Q10/1095
    • Various techniques for performing contextual event rescheduling with an event scheduling service are disclosed herein. In an example, data is processed at an event scheduling service, based on the use of a trained machine learning model that is specific to a user. This model is operated by the event scheduling service determine a contextual action option for rescheduling an electronic communication event at a proposed time with proposed scheduling parameters. The model may identify the proposed time and event scheduling parameters, from data indicating a user state, or external data, in addition to a semantic text option (such as "Call Back After Meeting") corresponding to the proposed time and event scheduling parameters. Further examples to evaluate user activity and identify reschedule options based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.
    • 这里公开了用于利用事件调度服务执行上下文事件重调度的各种技术。 在一个示例中,基于使用特定于用户的经过训练的机器学习模型,在事件调度服务处处理数据。 该模型由事件调度服务操作,确定用于在提出的时间用所提出的调度参数重新调度电子通信事件的上下文动作选项。 除了与建议的时间和事件调度参数相对应的语义文本选项(诸如“会议后回拨”)之外,该模型还可以根据指示用户状态的数据或外部数据来识别提出的时间和事件调度参数 。 还公开了基于来自用户的移动计算设备,可穿戴传感器以及外部天气,交通或事件数据源的数据输入来评估用户活动并识别重新安排选项的其他示例。