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US Patent 10423991 Implementing and optimizing safety interventions

Patent 10423991 was granted and assigned to Uber on September, 2019 by the United States Patent and Trademark Office.

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Contents

Patent abstractTimelineTable: Further ResourcesReferences
Is a
Patent
Patent

Patent attributes

Patent Applicant
Uber
Uber
Current Assignee
Uber
Uber
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10423991
Date of Patent
September 24, 2019
Patent Application Number
15365855
Date Filed
November 30, 2016
Patent Citations Received
‌
US Patent 12133139 Detecting handheld device movements utilizing a handheld-movement-detection model
3
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US Patent 11263275 Systems, devices, and methods for parallelized data structure processing
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US Patent 11318952 Feedback for an autonomous vehicle
‌
US Patent 11994399 Management and upload of ride monitoring data of rides of a mobility service provider
6
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US Patent 10740856 Dynamic support information based on contextual information
‌
US Patent 11250875 Behavior support system, behavior support apparatus, behavior support method, and storage medium storing program thereof
Patent Primary Examiner
‌
Eric Nilsson
Patent abstract

A network system provides interventions to providers to reduce the likelihood that its users will experience safety incidents. The providers provide service to the users such as transportation. Providers who are safe and have positive interpersonal behavior may be perceived by users as high quality providers. However, other providers may be more prone to cause safety incidents. A machine learning model is trained using features derived from service received by users of the network system. Randomized experiments and trained models predict the effectiveness of various interventions on a provider based on characteristics of the provider and the feedback received for the provider. As interventions are sent to providers, the change in feedback can indicate whether the intervention was effective. By providing messages proactively, the network system may prevent future safety incidents from occurring.

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