Uber Technologies, Inc.

Michael O'Herlihy

Karna Chokshi

Nirveek De

Zach Singleton

Rafiq Raziuddin Merchant

Jordan Allen Buettner

Matthew Joseph Doyle

Meron Alon

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.

Predicting user state using machine learning

An optimization and recommendation engine can receive user location data to programmatically generate customized recommendations regarding the user's operation as a potential service provider for a network service. The optimization and recommendation engine can determine potential service routes based on the user location data indicating a frequent route of the user and on service data associated with the network service. The optimization and recommendation engine can also perform multivariate optimizations to select one or more optimal service routes from the potential service routes. The recommendations can include the one or more optimal service routes as well as parameters associated with such routes. The recommendations can further include a comparison of the parameters against characteristics of the user's frequent route.

System and method for performing multivariate optimizations based on location data

A network system detects lost client devices based on a comparison of geospatial locations transmitted by user and provider client devices during and after a service. The network system assigns a service status indicating that a service from a start location to a destination location is in progress and monitors the locations of the user and provider client devices during the duration of the service and for a specified period of time after the service ends. In response to determining that the user and provider client devices remain in proximity to each other after the service has ended, the network system notifies the user of the lost device.

Lost device detection using geospatial location data

A server provides a customized support interface to a user that is requesting assistance regarding a service that the user received. The server provides a support interface that is customized for the user based on data related to the service and the user's past behavior. By providing a customized support interface, the user is more easily able to report any grievances that the user may have had with the service thereby reducing any further user aggravation.

Dynamic support information based on contextual information

A network system is configured to facilitate a safe service coordination environment. The network system detects abnormal user states (e.g., sleepiness, inebriation, etc.) and provides corrective recommendations to those users. To do so, client devices executing an application send information associated with the service to the network system. The network system determines an aggregate set of service characteristics based on the aggregate telematics data. The network system also determines a provider profile for a provider providing service in the environment describing the deviation of the user's driving characteristics from the aggregate service characteristics. Based on the difference between the aggregate characteristics and the user profile, the network system determines the provider state using a state verification process. Based on the determined provider state, the network system determines a set of corrective recommendations and sends the corrective recommendations to the provider device.

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San Francisco, CA, United States of America

Michael O'Herlihy