Uber Technologies, Inc.

Lawrence Benjamin Goldstein

Arjun Vora

Nikhil Joshi

Arun Bodapati

Kathy Brown

Eckart Walther

Xiaochao Yang

Mahdi Namazifar

Praveen Kannan

Fran Bell

Jai Malkani

Gokhan Tur

Jeremy Wyatt Lermitte

Manisha Mundhe

A system can monitor event data corresponding to a current user experience of a requesting user during a current application session with a network service. Based on the event data, the system generates one or more representations corresponding to the current user experience of the requesting user, and executes a machine learning model to process the one or more representations in order to predict a negative user experience for the requesting user within a future time frame during the current application session. In response to predicting the negative user experience, the system implements one or more corrective actions during the current application session through the service application to prevent or mitigate the predicted negative user experience.

Predicting and preventing negative user experience in a network service

A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.

A network computer system for managing a network service (e.g., a transport service) can include a voice-assistant subsystem for generating dialogues and performing actions for service providers of the network service. The network computer system can receive, from a user device, a request for the network service. In response, the network computer system can identify a service provider and transmit an invitation to the provider device of the service provider. In response to the identification of the service provider for the request, the voice-assistant subsystem can trigger an audio voice prompt to be presented on the provider device and a listening period during which the provider device monitors for an audio input from the service provider. Based on the audio input captured by the provider device, the network computer system can determine an intent corresponding to whether the service provider accepts or declines the invitation.

Network computer system to generate voice response communications

A network computer system can respond to a call connection signal by making a determination as to whether the call connection is likely to be supported for at least one of the caller or receiver using a first voice communication medium, as compared to an alternative voice communication medium. Based on the determination, the network computer system can cause the call connection to be established using the voice communication medium of the determination.

Network service for dynamic selection of voice communication medium for call connections

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San Francisco, CA, United States of America

Lawrence Benjamin Goldstein