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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.
发明人: Mayank Kulkarni , Adam Chow
IPC分类号: G06F3/04842 , G06Q10/107 , H04L51/42 , G06Q10/10
CPC分类号: G06F3/04842 , G06Q10/107 , H04L51/42 , G06Q10/10
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.
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公开(公告)号:US20230177057A1
公开(公告)日:2023-06-08
申请号:US17457371
申请日:2021-12-02
申请人: VMware, Inc.
发明人: Adam Chow , Ravish Chawla , Rohit Pradeep Shetty , Max Blinder
IPC分类号: G06F16/2457 , H04M1/27453 , H04M1/72454 , H04M1/72457
CPC分类号: G06F16/24575 , H04M1/27453 , H04M1/72454 , H04M1/72457
摘要: 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.
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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.
发明人: Ravish Chawla , Rohit Pradeep Shetty , Adam Chow
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.
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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.
发明人: Adam Chow , Ravish Chawla , Rohit Pradeep Shetty
IPC分类号: H04N21/466 , H04L51/226 , H04L51/42
CPC分类号: H04N21/4668 , H04L51/42 , H04L51/226
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.
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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.
发明人: Ravish Chawla , Rohit Pradeep Shetty , Adam Chow
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.
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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.
发明人: Mayank Kulkarni , Adam Chow
IPC分类号: G06F3/0484 , G06Q10/10 , 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.
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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.
发明人: Mayank Kulkarni , Adam Chow
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.
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公开(公告)号:US12107809B2
公开(公告)日:2024-10-01
申请号:US17590836
申请日:2022-02-02
申请人: VMWARE, INC.
发明人: Rohit Pradeep Shetty , Ravish Chawla , Adam Chow
IPC分类号: H04L51/066 , G06F40/103 , G06F40/284 , G06N20/00
CPC分类号: H04L51/066 , G06F40/103 , G06F40/284 , G06N20/00
摘要: Disclosed herein are examples of systems and methods for formatting electronic messages using machine learning. An electronic message can be obtained, and a processed message can be generated based at least in part on the electronic message. At least one attribute for the processed message can be determined. A formatting specification can be generated based at least in part on the at least one attribute. A reformatted message can be generated based at least in part on the formatting specification.
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公开(公告)号:US11783819B2
公开(公告)日:2023-10-10
申请号:US17366169
申请日:2021-07-02
申请人: VMware, Inc.
发明人: Rohit Pradeep Shetty , Ravish Chawla , Adam Chow
IPC分类号: G10L15/22 , G10L15/183 , G10L15/16
CPC分类号: G10L15/183 , G10L15/16 , G10L15/22 , G10L2015/223
摘要: 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.
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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.
发明人: Adam Chow , Ravish Chawla
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.
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