Invention Grant
- Patent Title: Predicting user state using machine learning
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Application No.: US15367139Application Date: 2016-12-01
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Publication No.: US10762441B2Publication Date: 2020-09-01
- Inventor: Michael O'Herlihy , Rafiq Raziuddin Merchant , Nirveek De , Jordan Allen Buettner
- Applicant: Uber Technologies, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Uber Technologies, Inc.
- Current Assignee: Uber Technologies, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Fenwick & West LLP
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
A system coordinates services between users and providers. The system trains a computer model to predict a user state of a user using data about past services. The prediction is based on data associated with a request submitted by a user. Request data can include current data about the user's behavior and information about the service that is independent of the particular user behavior or characteristics. The user behavior may be compared against the user's prior behavior to determine differences in the user behavior for this request and normal behavior of prior requests. The system can alter the parameters of a service based on the prediction about the state of the user requesting the service.
Public/Granted literature
- US20180157984A1 PREDICTING USER STATE USING MACHINE LEARNING Public/Granted day:2018-06-07
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