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1. 发明申请

WO2018004793A1 SEARCH DIMENSIONALITY EXPANSION 审中-公开
标题翻译：搜索尺寸扩展
公开(公告)号：WO2018004793A1
公开(公告)日：2018-01-04
申请号：PCT/US2017/028634
申请日：2017-04-20
申请人： INTEL CORPORATION
发明人： COHEN, Rafi , LEBEDEV, Dganit , VAINAS, Oded
IPC分类号： G06F17/30
CPC分类号： G06F16/24534 , G06F16/29 , G06F16/9535 , G06F16/9537
摘要： System and techniques for search dimensionality expansion are described herein. A history of intelligent agent activity may be received. A search result generated by an external entity may be obtained that includes a set of geographic points of interest (POI). A geographic segment may be retrieved from a geographic segment library when the geographic segment contains a member of the set of POI. Here, the geographic segment defines a geographic area and a dimension set. The search result may be modified to create a modified search result that includes a member of the dimension set. The modified search result may then be transmitted to a user device.
摘要翻译：这里描述了用于搜索维度扩展的系统和技术。智能代理活动的历史可能会收到。可以获得由外部实体生成的搜索结果，其包括一组地理兴趣点（POI）。当地理片段包含该组POI的成员时，可从地理片段库检索地理片段。这里，地理部分定义了一个地理区域和一个维度集。搜索结果可以被修改以创建包括维度集的成员的修改的搜索结果。然后可以将修改的搜索结果发送给用户设备。

2. 发明申请

WO2017112331A1 CONTEXTUAL BASED NOTIFICATION MANAGEMENT SYSTEM FOR WEARABLE DEVICES 审中-公开
标题翻译：用于可穿戴设备的基于对话的通知管理系统
公开(公告)号：WO2017112331A1
公开(公告)日：2017-06-29
申请号：PCT/US2016/063740
申请日：2016-11-25
申请人： INTEL CORPORATION
发明人： VAINAS, Oded , MARIAN, Tal , SOFFER, Ronen
IPC分类号： G06F1/16 , G06F9/48
CPC分类号： G06F17/30528 , G06F1/163 , G06F9/542 , H04B1/385 , H04L67/26
摘要： One embodiment relates to an apparatus, comprising logic, at least partially incorporated into hardware, to receive a plurality of notifications from each of a plurality of notification sources, determine a ranking score for each notification relative to any other notification received from the same notification source, and determine a notification class for each ranked notification relative to the ranked notifications from all notification sources based upon at least one blending attribute and at least one user contextual state.
摘要翻译：一个实施例涉及一种装置，包括逻辑，至少部分地并入到硬件中，用于从多个通知源中的每一个接收多个通知，确定每个通知相对于任何通知从同一通知源接收到的其他通知，并且基于至少一个混合属性和至少一个用户上下文状态，确定来自所有通知源的相对于排名通知的每个排名通知的通知类。

3. 发明申请

WO2017222695A1 CONTEXTUAL MODEL-BASED EVENT RESCHEDULING AND REMINDERS 审中-公开
标题翻译：基于模型的基于事件的事件再次提醒和提醒
公开(公告)号：WO2017222695A1
公开(公告)日：2017-12-28
申请号：PCT/US2017/033339
申请日：2017-05-18
申请人： INTEL CORPORATION
发明人： SOFFER, Ronen Aharon , VAINAS, Oded , ILAN, Gili , SAGI, Noam , GREENFELD, Merav
IPC分类号： H04M1/725 , H04M3/487
CPC分类号： G06Q10/1095
摘要： 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.
摘要翻译：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。

4. 发明申请

WO2017222693A1 CONTEXTUAL MODEL-BASED EVENT SCHEDULING 审中-公开
标题翻译：基于模型的背景事件调度
公开(公告)号：WO2017222693A1
公开(公告)日：2017-12-28
申请号：PCT/US2017/033306
申请日：2017-05-18
申请人： INTEL CORPORATION
发明人： ILAN, Gili , SAGI, Noam , SHARON, Gil , VAINAS, Oded , SOFFER, Ronen, Aharon
IPC分类号： G06F9/38 , G06N99/00
摘要： Various techniques for performing contextual event scheduling 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 trained machine learning model is operated by the event scheduling service determine a proposed time and proposed scheduling parameters based on the contextual information, to identify a proposed event time and event scheduling parameters based on the model, the data indicating a user state, or external data. Further examples to evaluate user activity and identify schedule characteristics based on data inputs from a user's mobile computing device, wearable sensors, and external weather, traffic, or event data sources, are also disclosed.
摘要翻译：这里公开了用于利用事件调度服务执行上下文事件调度的各种技术。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。该事件调度服务根据上下文信息确定提出的时间和提出的调度参数，基于该模型识别提议的事件时间和事件调度参数，该指示用户状态的数据或外部数据。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时间表特征的其他示例。

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