GENERATING FEATURELESS SERVICE PROVIDER MATCHES

    公开(公告)号:US20210056431A1

    公开(公告)日:2021-02-25

    申请号:US16553464

    申请日:2019-08-28

    Applicant: Talkdesk, Inc.

    Inventor: Jafar Adibi

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize featureless supervised or unsupervised machine learning to generate service provider match predictions based on raw communication data. In one or more embodiments, the disclosed systems utilize a trained service provider match neural network to generate a service provider match prediction based on raw communication data associated with an incoming audio, text, or video communication. In response to the generated service provider match prediction, the disclosed systems can route the incoming communication to the matched service provider.

    GENERATING PREDICTIONS FOR ELECTRONIC COMMUNICATIONS BY DETERMINING PROBLEM FEATURES BASED ON CONTEXTUAL INFORMATION ASSOCIATED WITH SERVICE SYSTEMS

    公开(公告)号:US20210004816A1

    公开(公告)日:2021-01-07

    申请号:US16553459

    申请日:2019-08-28

    Applicant: Talkdesk, Inc.

    Inventor: Jafar Adibi

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating purpose predictions and options for processing electronic communications. For example, the disclosed systems can determine a problem feature related to a service system corresponding to a contacting user based on contextual information associated with the service system. In addition, the disclosed systems can receive an electronic communication from a contacting user device and can determine contacting user information based on the received electronic communication. Further, the disclosed systems can generate a purpose prediction for the electronic communication based on the contacting user information and the contextual information. The disclosed systems can further determine options for processing the electronic communication.

    GENERATING PREDICTIONS FOR ELECTRONIC COMMUNICATIONS BY DETERMINING PROBLEM FEATURES BASED ON CONTEXTUAL INFORMATION ASSOCIATED WITH SERVICE SYSTEMS

    公开(公告)号:US20210004815A1

    公开(公告)日:2021-01-07

    申请号:US16553450

    申请日:2019-08-28

    Applicant: Talkdesk, Inc.

    Inventor: Jafar Adibi

    Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating purpose predictions and options for processing electronic communications. For example, the disclosed systems can determine a problem feature related to a service system corresponding to a contacting user based on contextual information associated with the service system. In addition, the disclosed systems can receive an electronic communication from a contacting user device and can determine contacting user information based on the received electronic communication. Further, the disclosed systems can generate a purpose prediction for the electronic communication based on the contacting user information and the contextual information. The disclosed systems can further determine options for processing the electronic communication.

    Generating featureless service provider matches

    公开(公告)号:US11328205B2

    公开(公告)日:2022-05-10

    申请号:US16549186

    申请日:2019-08-23

    Applicant: Talkdesk, Inc.

    Inventor: Jafar Adibi

    Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods that utilize featureless supervised or unsupervised machine learning to generate service provider match predictions based on raw communication data. In one or more embodiments, the disclosed systems utilize a trained service provider match neural network to generate a service provider match prediction based on raw communication data associated with an incoming audio, text, or video communication. In response to the generated service provider match prediction, the disclosed systems can route the incoming communication to the matched service provider.

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