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    Personalized information from venues of interest
    33.
    发明授权
    Personalized information from venues of interest 有权

    公开(公告)号：US11887164B2

    公开(公告)日：2024-01-30

    申请号：US14721259

    申请日：2015-05-26

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Ido Priness ,  Dikla Dotan-Cohen ,  Haim Somech

    IPC: G06Q30/0251 ,  G06Q50/10

    CPC classification number: G06Q30/0269 ,  G06Q30/0264 ,  G06Q50/10

    Abstract: Personalized information from venues of interest to a user is provided to the user. The information may comprise messages, notifications, or other information determined to be relevant to the user, and may be timely provided to the user in an appropriate format such that the user is better able to respond to the information. A set of venues that are relevant to the user and corresponding information sources associated with the venue are determined. Information published by these sources may be analyzed for relevance to the user, and the relevant information items may be provided to the user via notifications or applications and services. Further, the notifications may be scheduled for presentation to the user at appropriate times, such as prior to a predicted visit of the venue. One embodiment includes a venue-information clearinghouse for receiving information from venues and making it available for user applications or services.

    Notifications of action items in messages
    35.
    发明授权
    Notifications of action items in messages 有权

    公开(公告)号：US11388130B2

    公开(公告)日：2022-07-12

    申请号：US16822996

    申请日：2020-03-18

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Dikla Dotan-Cohen ,  Haim Somech ,  Ido Priness

    IPC: G06F15/16 ,  H04L51/224 ,  G06Q10/10 ,  H04L51/04 ,  H04L51/42 ,  H04L67/50

    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. In is inferred 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.

    Augmentation of notification details
    36.
    发明授权
    Augmentation of notification details 有权

    公开(公告)号：US11340963B2

    公开(公告)日：2022-05-24

    申请号：US16242270

    申请日：2019-01-08

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Dikla Dotan-Cohen ,  Ido Priness ,  Haim Somech ,  Anat Inon ,  Amitay Dror ,  Michal Yarom Zarfati

    IPC: G06F9/54 ,  G06F17/27 ,  G06F17/28 ,  G06F40/253 ,  G06F40/44

    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.

    Semantic locations prediction
    37.
    发明授权
    Semantic locations prediction 有权

    公开(公告)号：US10909464B2

    公开(公告)日：2021-02-02

    申请号：US15141405

    申请日：2016-04-28

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Ido Priness ,  Dikla Dotan-Cohen ,  Haim Somech ,  Ido Cohn ,  Shira Weinberg

    IPC: G06N5/02 ,  G06N5/04 ,  G06Q30/02 ,  G06Q10/00 ,  G06N7/00

    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.

    Virtual assistant for generating personalized responses within a communication session
    39.
    发明授权
    Virtual assistant for generating personalized responses within a communication session 有权

    公开(公告)号：US10585991B2

    公开(公告)日：2020-03-10

    申请号：US15637831

    申请日：2017-06-29

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Adi Miller ,  Shira Weinberg ,  Haim Somech ,  Hen Fitoussi

    IPC: G10L21/00 ,  G10L13/06 ,  G06F17/27 ,  G06Q10/06 ,  G06Q50/00 ,  G06Q10/04 ,  G10L15/183 ,  G10L15/22 ,  G10L15/26 ,  G10L15/00

    Abstract: Intelligent agents (IA) for automatically generating responses to content within a communication session (CS) are disclosed. An IA is trained to target the responses to a user and the user's context within the CS. An IA receives CS content that includes natural language expressions encoding users' conversations and determines content features based on natural language models. The content features indicate intended semantics of the expressions. The IA identifies likely-relevant content to the targeted user, to generate a response for. Identifying such content includes determining a relevance of the content based on content features, a context of the CS, a user-interest model, and a content-relevance model. Identifying the likely-relevant content to respond to is based on the determined relevance of the content and relevance thresholds. Various responses to the identified portions of the content are automatically generated and provided based on a natural language response-generation model targeted to the user.

    ENHANCED COMPUTER EXPERIENCE FROM PERSONAL ACTIVITY PATTERN
    40.
    发明申请
    ENHANCED COMPUTER EXPERIENCE FROM PERSONAL ACTIVITY PATTERN 审中-公开

    公开(公告)号：US20190205839A1

    公开(公告)日：2019-07-04

    申请号：US15858966

    申请日：2017-12-29

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Dikla Dotan-Cohen ,  Ido Priness ,  Haim Somech

    IPC: G06Q10/10 ,  H04L29/08 ,  A61B5/11

    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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