DOMAIN EXPERT PREDICTOR
    72.
    发明公开

    公开(公告)号:US20230419205A1

    公开(公告)日:2023-12-28

    申请号:US17889424

    申请日:2022-08-17

    Applicant: VMWARE, INC.

    CPC classification number: G06Q10/063112 G06Q10/103 G06N5/02

    Abstract: Disclosed are various approaches for predicting a domain expert. In one such embodiment, application usage data corresponding to conversations between users of a collaboration messaging service on a particular topic is obtained and used to generate a knowledge graph representing the users involved in the conversations on the particular topic. Thus, based on the knowledge graph, at least one user can be identified as a domain expert for the particular topic, wherein the at least one user is represented in the knowledge graph.

    Distributed auto discovery service
    73.
    发明授权

    公开(公告)号:US11848824B2

    公开(公告)日:2023-12-19

    申请号:US17503455

    申请日:2021-10-18

    Applicant: VMWARE, INC.

    CPC classification number: H04L41/12 H04L63/0853 H04L67/51

    Abstract: Methods and systems are described for a distributed auto discovery service for device enrollment. In an example, a user device enrolling in a Unified Endpoint Management (“UEM”) system can receive an email address. The enrolling user device can identify, on a local network that the enrolling user device is connected to, other user devices that are already enrolled with the UEM system. The unenrolled user device can send a discovery request to the enrolled user devices that includes the domain of the email address. One or more of the enrolled user devices can respond with a tenant identifier associated with the domain and a Uniform Resource Locator for a server that the unenrolled user device can contact to complete enrollment. The unenrolled user device can contact the server and complete enrollment using the email address and tenant identifier.

    EVENT RECOMMENDATIONS USING MACHINE LEARNING
    74.
    发明公开

    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.

    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.

    Embedding content in audio content through a voice assistant

    公开(公告)号:US11722474B2

    公开(公告)日:2023-08-08

    申请号:US16903412

    申请日:2020-06-17

    Applicant: VMWARE, INC.

    CPC classification number: H04L63/0815 G10L19/018 H04L63/102

    Abstract: Disclosed are various approaches for authenticating a user through a voice assistant device and creating an association between the device and a user account. The request is associated with a network or federated service. The user can use a client device, such as a smartphone, to initiate an authentication flow. A passphrase is provided to the client device can captured by the client device and a voice assistant device. Audio captured by the client device and voice assistant device can be sent to an assistant connection service. The passphrase and an audio signature calculated from the audio can be validated. An association between the user account and the voice assistant device can then be created.

    INTELLIGENT CREATION OF CUSTOMIZED RESPONSES TO CUSTOMER FEEDBACK

    公开(公告)号:US20230110127A1

    公开(公告)日:2023-04-13

    申请号:US17499617

    申请日:2021-10-12

    Applicant: VMware, Inc.

    Abstract: Systems and methods are described for creating a customized response to user feedback. In an example, a feedback system can receive user feedback about a product. The feedback system can parse the user feedback to extract keywords and assign categories to the keywords. The feedback system can also receive update information related to the product. The feedback system can parse the product update information in a similar manner to extract keywords and assign them to categories. The feedback system can compare the parsed user feedback and the parsed product update information and identify any matches that indicate that the product update addresses something mentioned in the user feedback. The feedback system can create a custom notification that highlights the portion of the product update information that matched to the user feedback.

    Single sign-on service authentication through a voice assistant

    公开(公告)号:US11570165B2

    公开(公告)日:2023-01-31

    申请号:US16785682

    申请日:2020-02-10

    Applicant: VMWARE, INC.

    Abstract: Disclosed are various approaches for authenticating a user through a voice assistant device and creating an association between the device and a user account. The request is associated with a network or federated service. The user is prompted to use a client device, such as a smartphone, to facilitate an authentication flow. A soundwave is played through the client device that contains a secret key, which is then sent to a service that validates the secret key. An association between the user account and the voice assistant device can then be created so that access to third party services can occur.

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