公开(公告)号：US12219033B2

公开(公告)日：2025-02-04

申请号：US18667363

申请日：2024-05-17

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: G06F15/173 ,  H04L41/0823 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/61 ,  H04L67/62 ,  H04L67/75

Abstract: A network system can receive location data from a provider device of a service provider. Using at least the location data in an optimization model, the network system can determine one or more actions for the service provider to optimize one or more metrics. The one or more metrics correspond to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time. The network system may then transmit a dataset to the provider device to display information corresponding to the one or more actions for the service provider.

公开(公告)号：US20250047762A1

公开(公告)日：2025-02-06

申请号：US18923556

申请日：2024-10-22

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: H04L67/61 ,  H04L41/0823 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/62 ,  H04L67/75

Abstract: A network system can receive location data from a provider device of a service provider. Using at least the location data in an optimization model, the network system can determine one or more actions for the service provider to optimize one or more metrics. The one or more metrics correspond to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time. The network system may then transmit a dataset to the provider device to display information corresponding to the one or more actions for the service provider.

公开(公告)号：US12021947B2

公开(公告)日：2024-06-25

申请号：US17391828

申请日：2021-08-02

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: G06F15/173 ,  H04L41/0823 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/61 ,  H04L67/62 ,  H04L67/75

CPC classification number: H04L67/61 ,  H04L41/0823 ,  H04L41/145 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/62 ,  H04L67/75

Abstract: 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.

公开(公告)号：US20240305698A1

公开(公告)日：2024-09-12

申请号：US18667363

申请日：2024-05-17

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: H04L67/61 ,  H04L41/0823 ,  H04L41/14 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/62 ,  H04L67/75

CPC classification number: H04L67/61 ,  H04L41/0823 ,  H04L41/145 ,  H04L41/147 ,  H04L41/16 ,  H04L41/22 ,  H04L41/5025 ,  H04L41/5054 ,  H04L67/51 ,  H04L67/62 ,  H04L67/75

Abstract: A network system can receive location data from a provider device of a service provider. Using at least the location data in an optimization model, the network system can determine one or more actions for the service provider to optimize one or more metrics. The one or more metrics correspond to at least one of (i) an expected wait time for the service provider over a future period of time, (ii) an expected travel distance between providing services over a future period of time, or (iii) an expected amount of earnings for the service provider over a future period of time. The network system may then transmit a dataset to the provider device to display information corresponding to the one or more actions for the service provider.

公开(公告)号：US20220030086A1

公开(公告)日：2022-01-27

申请号：US17391828

申请日：2021-08-02

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: H04L29/08 ,  H04L12/24

Abstract: 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.

公开(公告)号：US11082529B2

公开(公告)日：2021-08-03

申请号：US16654365

申请日：2019-10-16

Applicant: Uber Technologies, Inc.

Inventor： Shicong Meng ,  Noah Harold Shaw ,  Joshua K. Hellerstein ,  Juan Pemberthy ,  Zhi Li ,  Jacob Edison

IPC: G06F15/173 ,  H04L29/08 ,  H04L12/24

Abstract: 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.