Smart email task reminders
    1.
    发明授权

    公开(公告)号:US11733844B2

    公开(公告)日:2023-08-22

    申请号:US17735864

    申请日:2022-05-03

    申请人: VMware, Inc.

    摘要: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.

    SECURING CONFIDENTIAL CONTENT IN A VIRTUAL MEETING

    公开(公告)号:US20220377056A1

    公开(公告)日:2022-11-24

    申请号:US17327137

    申请日:2021-05-21

    申请人: VMware, Inc.

    IPC分类号: H04L29/06 H04L9/14

    摘要: Systems and methods are described for securing confidential content in a virtual meeting. In an example, a host can create a meeting agenda that identifies attendees and access restrictions for the meeting. A server can generate encryption keys corresponding to different confidentiality levels of content identified in the agenda. The encryption keys can be provided to user devices of the attendees based on the access permissions of the attendees. As the virtual meeting takes place, the server can encrypt confidential portions of the content stream for the meeting using the encryption keys. In an example, the server can also apply a machine learning algorithm to identify any confidential content in the content stream not previously identified. The server can encrypt additional confidential content where appropriate using encryption keys corresponding to the confidentiality level of the content.

    PERSONALIZED INFORMATIONAL USER EXPERIENCES USING VISUAL CONTENT

    公开(公告)号:US20230412887A1

    公开(公告)日:2023-12-21

    申请号:US17750337

    申请日:2022-05-21

    申请人: VMware, Inc.

    摘要: Disclosed are various examples for to generating personalized user experiences in the form of short-form videos that summarize informational topics that are selected to present to a user according at least one of a user context or a user interest. As the informational topics are identified for a given user, the informational topics can be applied as inputs to a recommendation model that is trained to recommend one or more of the topics to summarize and present to a user in visual form based on at least one of the user context or the user interest. Once a topic is recommended by the recommendation model, a video or other type of visual content can be automatically generated and presented to a user to allow the user to consume the information in the summarized form.

    Securing confidential content in a virtual meeting

    公开(公告)号:US11736454B2

    公开(公告)日:2023-08-22

    申请号:US17327137

    申请日:2021-05-21

    申请人: VMware, Inc.

    IPC分类号: H04L9/40 H04L9/14

    CPC分类号: H04L63/0428 H04L9/14

    摘要: Systems and methods are described for securing confidential content in a virtual meeting. In an example, a host can create a meeting agenda that identifies attendees and access restrictions for the meeting. A server can generate encryption keys corresponding to different confidentiality levels of content identified in the agenda. The encryption keys can be provided to user devices of the attendees based on the access permissions of the attendees. As the virtual meeting takes place, the server can encrypt confidential portions of the content stream for the meeting using the encryption keys. In an example, the server can also apply a machine learning algorithm to identify any confidential content in the content stream not previously identified. The server can encrypt additional confidential content where appropriate using encryption keys corresponding to the confidentiality level of the content.

    SMART EMAIL TASK REMINDERS
    6.
    发明申请

    公开(公告)号:US20200150853A1

    公开(公告)日:2020-05-14

    申请号:US16740922

    申请日:2020-01-13

    申请人: VMware, Inc.

    摘要: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.

    SMART EMAIL TASK REMINDERS
    7.
    发明申请

    公开(公告)号:US20190065033A1

    公开(公告)日:2019-02-28

    申请号:US15690461

    申请日:2017-08-30

    申请人: VMware, Inc.

    IPC分类号: G06F3/0484 H04L12/58

    摘要: Systems and methods herein assist users by identifying actionable tasks in an email and providing reminders and other tracking mechanisms for those tasks. For example, a method can include extracting a portion of the email and assigning a number to each word of the extracted portion of the email according to a library. The method can further include determining, based on the assigned numbers, whether the extracted portion of the email includes at least one actionable portion. In response to determining that the extracted portion of the email includes at least one actionable portion, at least one actionable portion can be presented to the user on a GUI associated with the user's device.

    AUTOMATIC SCHEDULING OF ACTIONABLE EMAILS

    公开(公告)号:US20220215351A1

    公开(公告)日:2022-07-07

    申请号:US17142119

    申请日:2021-01-05

    申请人: VMware, Inc.

    IPC分类号: G06Q10/10 G06N20/00

    摘要: Examples described herein include systems and methods for scheduling tasks based on emails intended for a user. An email application, agent, or server can identify a task by parsing an unread email intended for a user. Then a machine learning model specific to that user can be applied to the task and task list information including at least one open time slot. The machine learning model can be previously trained based on timing of prior tasks performed by the user. Based on an output from the model, the task can be scheduled at a first time within the time slot and displayed in a task list on a user device. When the user completes the task, the machine learning model can be updated based on a second time in which the task is completed relative to the first time.