CHARACTERIZING A PLACE BY FEATURES OF A USER VISIT

    公开(公告)号:WO2020171969A1

    公开(公告)日:2020-08-27

    申请号:PCT/US2020/017103

    申请日:2020-02-06

    Abstract: Aspects of the technology described herein provide a personalized computing experience for a user based on a user-visit-characterized venue profile. In particular, user visits to a venue are determined. For those visits, user characteristics and/or visit characteristics are determined. User similarities and visit features similarities may be determined and associated with the venue to form the user-visit-characterized venue profile. The user-visit-characterized venue profile may be provided to an application or service such as a personal assistant service associated with the user, or may be provided as an API to facilitate consumption of the user-visit-characterized venue profile by an application or service.

    PROJECT ENTITY EXTRACTION WITH EFFICIENT SEARCH AND PROCESSING OF PROJECTS
    2.
    发明申请
    PROJECT ENTITY EXTRACTION WITH EFFICIENT SEARCH AND PROCESSING OF PROJECTS 审中-公开
    有效搜索和项目处理的项目实体提取

    公开(公告)号:WO2018075372A1

    公开(公告)日:2018-04-26

    申请号:PCT/US2017/056701

    申请日:2017-10-16

    Abstract: Systems and methods are provided for associating project entities with projects. In various implementations, user activity data is monitored based on sensor data from at least one user device associated with a user. From the monitored user activity data, entity features are determined of project entities corresponding to the user activity data. Time slots are extracted from the project entities. The time slots are clustered based the entity features of ones of the project entities corresponding to the time slots. The project entities are grouped into projects based on the clustered time slots. Project tags corresponding to the projects are applied to the project entities based on the grouping of the project entities. Content is personalized to the user based on the project tags applied to the project entities.

    Abstract translation:

    系统和方法提供了关联项目实体和项目。 在各种实现中,基于来自与用户相关联的至少一个用户设备的传感器数据来监视用户活动数据。 根据监控的用户活动数据,确定与用户活动数据对应的项目实体的实体特征。 时隙是从项目实体中提取的。 时隙是根据与时隙对应的某些项目实体的实体特征聚集的。 项目实体根据群集时间段分组为项目。 根据项目实体的分组将项目对应的项目标签应用于项目实体。 内容是根据应用于项目实体的项目标签为用户个性化的。

    SEMANTIC LOCATIONS PREDICTION
    3.
    发明申请
    SEMANTIC LOCATIONS PREDICTION 审中-公开
    语义地点预测

    公开(公告)号:WO2016176588A1

    公开(公告)日:2016-11-03

    申请号:PCT/US2016/030148

    申请日:2016-04-29

    Abstract: Aspects of the technology described herein provide a personalized computing experience for a user based on a predicted future semantic location of the user. In particular, a likely future location (or sequences of future locations) for a user may be determined, including contextual information about the future location. Using information from the current context of the user's current location with historical observations about the user and expected user events, out-of-routine events, or other lasting or ephemeral information, a prediction of one or more future semantic locations and corresponding confidences may be determined and used for providing personalized computing services to the user. The prediction may be provided to an application or service such as a personal assistant service associated with the user, or may be provided as an API to facilitate consumption of the prediction information by an application or service.

    Abstract translation: 本文描述的技术的方面基于用户的预测未来语义位置为用户提供个性化的计算体验。 特别地,可以确定用户可能的未来位置(或未来位置的顺序),包括关于未来位置的上下文信息。 使用来自用户当前位置的当前上下文的信息与关于用户和预期用户事件,异常事件或其他持久或短暂信息的历史观察结果,一个或多个未来语义位置的预测和相应的置信度可以是 确定并用于向用户提供个性化计算服务。 预测可以被提供给诸如与用户相关联的个人助理服务的应用或服务,或者可以被提供为API以便于应用或服务消耗预测信息。

    INFERRING USER SLEEP PATTERNS
    4.
    发明申请
    INFERRING USER SLEEP PATTERNS 审中-公开
    感染用户睡眠模式

    公开(公告)号:WO2016161078A1

    公开(公告)日:2016-10-06

    申请号:PCT/US2016/025199

    申请日:2016-03-31

    CPC classification number: G06N7/005 G06N99/005 G06Q10/06 G06Q30/02 G06Q50/01

    Abstract: Methods, computer systems, and computer storage media are provided for inferring sleep-related aspects for a user based, in part, on sensor data reflecting user activity detected by one or more sensors. In an embodiment, a user sleep model is trained using a dataset that includes previously-sensed data, descriptive information associated with the previously-sensed data, and/or interpretive data extracted from the previously-sensed data describing circumstances surrounding users when the data was acquired. In an embodiment, services providing time-sensitive recommendations personalized for a user's sleeping pattern using the inferred sleep-related aspects.

    Abstract translation: 提供方法,计算机系统和计算机存储介质,用于部分地基于反映由一个或多个传感器检测到的用户活动的传感器数据来推断用户的睡眠相关方面。 在一个实施例中,使用包括先前感测到的数据,与先前感测到的数据相关联的描述信息的数据集和/或从先前感测到的数据中提取的解释性数据来描述用户睡眠模型,所述数据描述当数据为 收购。 在一个实施例中,使用推断出的睡眠相关方面为用户的睡眠模式提供个性化的时间敏感性建议的服务。

    AUGMENTATION OF NOTIFICATION DETAILS
    5.
    发明申请

    公开(公告)号:WO2020146173A1

    公开(公告)日:2020-07-16

    申请号:PCT/US2019/069029

    申请日:2019-12-31

    Abstract: Aspects of the technology described herein improve the clarity of information provided in automatically generated notifications, such as reminders, tasks, alerts or other messages or communications provided to a user. The clarity may be improved through augmentations that provide additional information or specificity to the user. For example, instead of providing a notification reminding the user, "remember to send the slides before the meeting," the user may be provided with a notification reminding the user "remember to send the updated sales presentation before the executive committee meeting on Tuesday. The augmentation may take several forms including substituting one word in the notification with another more specific word, adding additional content such as a word or phrase to the notification without altering the existing content, and/or by rephrasing the content for grammatical correctness and/or clarity.

    AUTOMATED PERSONALIZED OUT-OF-THE-BOX AND ONGOING IN-APPLICATION SETTINGS

    公开(公告)号:WO2018175157A1

    公开(公告)日:2018-09-27

    申请号:PCT/US2018/022278

    申请日:2018-03-14

    Abstract: Systems, methods, and computer-readable storage media are provided for automating personalized out-of-the-box and ongoing in-application settings. A triggering event is detected for an exchange of information between an information service and one or more application or service. A trust level and domain of information of the one or more application or service is determined. Based on the trust level and domain of information, information to be shared with the one or more application or service is identified and the identified information is shared. The information to be shared can be all of the requested information, some of the requested information, or none of the requested information.

    NOTIFICATIONS OF ACTION ITEMS IN MESSAGES
    7.
    发明申请
    NOTIFICATIONS OF ACTION ITEMS IN MESSAGES 审中-公开
    消息中的行动项目通知

    公开(公告)号:WO2018057203A1

    公开(公告)日:2018-03-29

    申请号:PCT/US2017/048109

    申请日:2017-08-23

    Abstract: In some implementations, a method includes extracting completion criteria of an action item and parameters of the completion criteria from a message portion of a user message between users. In response to determining, from sensor data provided by one or more sensors associated with a user, the user practices a routine, a routine-related aspect is generated from a user routine model of the user for the routine. It is inferred that at least one of the extracted completion criteria of the action item is unsatisfied based on the extracted parameters and the identified routine-related aspect. Based on the inferring, a notification is provided to at least one user associated with the action item.

    Abstract translation: 在一些实施方式中,一种方法包括从用户之间的用户消息的消息部分提取动作项目的完成标准和完成标准的参数。 响应于根据由与用户相关联的一个或多个传感器提供的传感器数据确定用户练习例程,从例程的用户的用户例程模型产生与例程相关的方面。 推断出基于所提取的参数和所识别的例程相关方面,至少一个所提取的行动项目的完成标准不满足。 基于推断,向与该动作项目相关联的至少一个用户提供通知。

    INFERRING LOGICAL USER LOCATIONS
    8.
    发明申请
    INFERRING LOGICAL USER LOCATIONS 审中-公开
    感染逻辑用户位置

    公开(公告)号:WO2017019467A1

    公开(公告)日:2017-02-02

    申请号:PCT/US2016/043451

    申请日:2016-07-22

    CPC classification number: H04W4/04 G06Q30/00 H04W64/00

    Abstract: A logical location of a user may be inferred using semantics of the user's computing device(s). The logical locations may correspond to venues visited by the user, such as frequently visited venues, referred to as hubs. Logical hubs, representing logical locations, may be tagged to the computing device by classifying the device as being associated with a logical hub. Classification may be based on signals or features of the device, such as device usage or device characteristics. The device may be monitored to detect user activity. Based on analysis of the user activity and associated logical hub, the user's logical location may be inferred. A computer user-experience may be personalized to the user based on the user's inferred logical location or logical hub(s) associated with the device. In some cases, geographical location information is not used to determine the logical hubs or infer a user's logical location.

    Abstract translation: 可以使用用户的计算设备的语义来推断用户的逻辑位置。 逻辑位置可以对应于用户访问的场所,诸如被频繁访问的场地,被称为轮毂。 表示逻辑位置的逻辑集线器可以通过将设备分类为与逻辑集线器相关联来标记到计算设备。 分类可以基于设备的信号或特征,例如设备使用或设备特性。 可以监视该设备以检测用户活动。 基于对用户活动和相关联的逻辑集线器的分析,可以推断用户的逻辑位置。 可以基于用户推断出的与该设备相关联的逻辑位置或逻辑集线器来将用户体验计算机个性化。 在某些情况下,地理位置信息不用于确定逻辑集线器或推断用户的逻辑位置。

    ENHANCED COMPUTER EXPERIENCE FROM PERSONAL ACTIVITY PATTERN

    公开(公告)号:WO2019133264A1

    公开(公告)日:2019-07-04

    申请号:PCT/US2018/065313

    申请日:2018-12-13

    CPC classification number: G06Q10/1093 A61B5/1118 G06Q10/063116 H04L67/22

    Abstract: An enhanced computing experience is provided to a user based on an optimal schedule of user activity or activity types. The optimal schedule may be generated based on learned user activity patterns and determined or inferred future activity likely to be performed by the user. A user's current context and user preferences also may be considered when generating an optimal schedule. The optimal schedule may be utilized by a computerized personal assistant application to provide an enhanced computing experience for the user. For example, a calendar management program manages a user's calendar events to be more in accordance with an optimal schedule; a personal performance application generates a recommended daily schedule for the user; and a notifications service manages electronic notifications to the user or to other people in accordance with an optimal schedule.

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