Predicting and preventing negative user experience in a network service

US12332903B2 · kind B2 · utility

Assignee

• Uber Technologies, Inc. · US

Inventors

• Lawrence Benjamin Goldstein · San Francisco, US
• Arjun Vora · San Francisco, US
• Jai Malkani · San Francisco, US
• Nikhil Joshi · Pune, IN
• Eckart Walther · Palo Alto, US
• Mahdi Namazifar · San Francisco, US
• Kathy Brown · San Francisco, US
• Praveen Kannan · San Jose, US
• Arun Bodapati · San Francisco, US
• Fran Bell · San Francisco, US

Key dates

• Filing date: Aug 9, 2023
• Grant date: Jun 17, 2025
• Expiry date: Aug 9, 2043

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N20/00
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

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.