公开(公告)号：US20210294486A1

公开(公告)日：2021-09-23

申请号：US17343833

申请日：2021-06-10

Applicant: VMware, Inc.

Inventor： Mayank Kulkarni ,  Adam Chow

IPC: G06F3/0484 ,  H04L12/58 ,  G06Q10/10

Abstract: 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.

公开(公告)号：US20240378314A1

公开(公告)日：2024-11-14

申请号：US18315759

申请日：2023-05-11

Applicant: VMware, Inc.

Inventor： Ravish Chawla ,  Rohit Pradeep Shetty ,  Adam Chow

IPC: G06F21/62 ,  H04L9/40

Abstract: Disclosed are various embodiments for redacting or modifying content in documents that are provided to users. A user's clearance level can be determined by analyzing the role of the user within the enterprise. A redaction level can be determined from the clearance level. A document or other content can be modified or redacted based upon the redaction level.

公开(公告)号：US12130822B2

公开(公告)日：2024-10-29

申请号：US17457371

申请日：2021-12-02

Applicant: VMware, Inc.

Inventor： Adam Chow ,  Ravish Chawla ,  Rohit Pradeep Shetty ,  Max Blinder

IPC: G06F16/2457 ,  H04M1/27453 ,  H04M1/72454 ,  H04M1/72457

CPC classification number: G06F16/24575 ,  H04M1/27453 ,  H04M1/72454 ,  H04M1/72457

Abstract: Disclosed are various embodiments for generating a list of predicted contacts that can be provided to a client device. The predicted contacts can be generated based upon an analysis of user interaction data. The predicted contacts can be made available to a phone application or messaging application on a client device so that contact information can be displayed in response to an incoming call or a message.

公开(公告)号：US20230005472A1

公开(公告)日：2023-01-05

申请号：US17366169

申请日：2021-07-02

Applicant: VMware, Inc.

Inventor： Rohit Pradeep Shetty ,  Ravish Chawla ,  Adam Chow

IPC: G10L15/183 ,  G10L15/16 ,  G10L15/22

Abstract: Disclosed are various approaches for generating a text transcript of a soundtrack. The soundtrack can correspond to an event in a conferencing service. Language models can be trained on data that is specific to organizations, users within the organization, and metadata associated with an agenda for the event. The metadata can include texts, attachments, and other data associated with the event. The language models can be arranged into a convolutional neural network and output a text transcript. The text transcript can be used to retrain the language models for subsequent use.

公开(公告)号：US11340767B2

公开(公告)日：2022-05-24

申请号：US17343833

申请日：2021-06-10

Applicant: VMware, Inc.

Inventor： Mayank Kulkarni ,  Adam Chow

IPC: G06F3/04842 ,  H04L51/42 ,  G06Q10/10

Abstract: 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.

公开(公告)号：US11048392B2

公开(公告)日：2021-06-29

申请号：US16740922

申请日：2020-01-13

Applicant: VMware, Inc.

Inventor： Mayank Kulkarni ,  Adam Chow

IPC: G06F3/0484 ,  H04L12/58 ,  G06Q10/10

Abstract: 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.

公开(公告)号：US10534520B2

公开(公告)日：2020-01-14

申请号：US15690461

申请日：2017-08-30

Applicant: VMware, Inc.

Inventor： Mayank Kulkarni ,  Adam Chow

IPC: G06F3/0484 ,  H04L12/58 ,  G06Q10/10

Abstract: 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.

公开(公告)号：US20230401497A1

公开(公告)日：2023-12-14

申请号：US17886492

申请日：2022-08-12

Applicant: VMWARE, INC.

Inventor： RAVISH CHAWLA ,  Rohit Pradeep Shetty ,  Adam Chow

IPC: G06Q10/06 ,  G06N20/00

CPC classification number: G06Q10/06311 ,  G06N20/00

Abstract: Disclosed herein are examples of systems and methods for recommending events using machine learning. A first recommendation can be generated based at least in part on at least one user parameter associated with a user. The first recommendation can comprise a first event. The first recommendation can be provided to a client device associated with the user, and a user response to the recommendation can be received from the client device. A second recommendation can be generated based at least in part on the user response and the at least one user parameter, wherein the second recommendation comprises a second event. The second recommendation can be provided to the client device.

公开(公告)号：US20230396660A1

公开(公告)日：2023-12-07

申请号：US17830733

申请日：2022-06-02

Applicant: VMware, Inc.

Inventor： Rohit Pradeep Shetty ,  Ravish Chawla ,  Adam Chow

IPC: H04L65/403 ,  H04L65/1083 ,  H04L41/12 ,  G06Q10/10 ,  H04L43/0811

CPC classification number: H04L65/403 ,  H04L65/1083 ,  H04L41/12 ,  G06Q10/1095 ,  H04L43/0811

Abstract: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.

公开(公告)号：US20230396487A1

公开(公告)日：2023-12-07

申请号：US17830762

申请日：2022-06-02

Applicant: VMware, Inc.

Inventor： Rohit Pradeep Shetty ,  Ravish Chawla ,  Adam Chow

IPC: H04L41/0668 ,  H04L41/12 ,  H04L41/16 ,  H04L41/5074 ,  H04L41/0631

CPC classification number: H04L41/0668 ,  H04L41/12 ,  H04L41/16 ,  H04L41/5074 ,  H04L41/0631

Abstract: Systems and methods are described for providing recommendations for an improved user experience in online meetings. A recommendation engine can aggregate data from user devices to make recommendations before, during and after online meetings. Before a meeting, the recommendation engine can recommend which of a user's devices to use for the meeting. During the meeting, the recommendation engine can identify current or anticipated issues and recommend changes the user can make to correct or prevent the issue. After meetings, the recommendation engine can aggregate data and identify an ongoing issue for one or multiple users. The recommendation engine can identify the cause of the issue and make recommendations to the user or an administrator accordingly.