Predicting preferred communication patterns

    公开(公告)号:US10764232B1

    公开(公告)日:2020-09-01

    申请号:US15723956

    申请日:2017-10-03

    Applicant: Fuze, Inc.

    Abstract: Methods for predicting preferred communications patterns are provided. In one aspect, a method includes receiving a request from a first user to initiate communication with a second user by a first communication method, determining a communication preference hierarchy of the second user based on a plurality of factors concerning the second user, wherein the plurality of factors include a presence state, selecting a second communication method from the communication preference hierarchy, wherein the second communication method is preferred over the first communication method in the communication preference hierarchy, and in response to the request from the first user, providing a recommendation to the first user to communicate with the second user by the second communication method. Systems and machine-readable media are also provided.

    Systems and methods for intelligently joining a meeting/conference

    公开(公告)号:US10572859B1

    公开(公告)日:2020-02-25

    申请号:US16248226

    申请日:2019-01-15

    Applicant: Fuze, Inc.

    Abstract: Methods and systems for intelligently joining a conference are provided. The method includes initiating a connection for a user to an audio conferencing service, such as through an alert or notification. The method also includes matching the user with contact details including user's name, email address, phone number, user ID, and/or enterprise. The method also includes determining a confidence score based on matching the user with the contact details to verify an identity of the user when the confidence score exceeds a predetermined threshold. The method also includes searching calendar data for a meeting involving the user based on the contact details of the user, the meeting being scheduled proximate to a current time, the calendar data having a scheduled start time and a scheduled end time for the meeting. The method also includes joining the user to the meeting via the audio conferencing service based on the calendar data.

    Topical group communication and multimedia file sharing across multiple platforms

    公开(公告)号:US10454695B2

    公开(公告)日:2019-10-22

    申请号:US15831246

    申请日:2017-12-04

    Applicant: Fuze, Inc.

    Abstract: A method including receiving, from a participant, a request for starting an event including at least one second participant and a topic is provided. The method includes providing to one second participant an invitation to join the event, receiving, from any one of the participants, a document, and providing the document to all participants for view and/or editing, and providing the document to all participants upon request within a time period. The method includes granting access to the event to a participant, permitting the participant to access and modify the document in the event, and receiving a request from one of the participants to switch one of the first client device or a second client device used by a participant to continue to participate in the event. A system to perform the above method is also provided.

    System and method for determining user knowledge scores based on topic analysis of mapped content

    公开(公告)号:US10191951B1

    公开(公告)日:2019-01-29

    申请号:US15687114

    申请日:2017-08-25

    Applicant: Fuze, Inc.

    Abstract: Various aspects of the subject technology related to systems and methods for mapping communication content based on topic analysis to determine user knowledge scores. A system may be configured to receive communication content including spoken and non-spoken content. The system may convert spoken content to non-spoken content and a data set of the communication content may be generated. The system may construct a generative statistical model identifying a list of topics in the data set. The generative statistical model may also identify the topic percentage of words in the data set that are associated with a given topic. The system may generate a communication content graph identifying user nodes and word edges. The system may calculate a topic strength for each word edge and determine a user knowledge score for each user associated with each identified topic. The system may output the user knowledge score.

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