Prediction engine for a network-based service
AssigneeUber Technologies, Inc.
InventorsShicong Meng, Noah Harold Shaw, Joshua K. Hellerstein, Juan Pemberthy, Zhi Li, Jacob Edison
Life of this patent
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AssigneeUber Technologies, Inc.
InventorsShicong Meng, Noah Harold Shaw, Joshua K. Hellerstein, Juan Pemberthy, Zhi Li, Jacob Edison
Estimating the term…
Service providers can be identified to fulfill service requests of a network-based service. A network system is configured to generate, based on historical data associated with the network-based service, a machine-learned service provider optimization (MLSPO) model for generating service provider optimizations. The optimizations can include action recommendations that optimize one or more service metrics. The MLSPO model can be a reinforcement learning model generated by performing a plurality of simulations utilizing one or more virtual agents. A provider device of a service provider can transmit a set of data to the network system that indicates a current location of the service provider. Based on the current location and the MLSPO model, the network system can generate service provider optimizations. Optimization data can be transmitted to the provider device so that the provider device can display information corresponding to the service provider optimizations.
A network system for managing a network-based service, comprising:
A computer-implemented method comprising:
A non-transitory computer-readable medium storing instructions that, when executed by one or more processors of a network system, cause the network system to:
Dependencies are inferred from the claim text.