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    PREDICTION ENGINE FOR A NETWORK-BASED SERVICE
    3.
    发明申请
    PREDICTION ENGINE FOR A NETWORK-BASED SERVICE 有权

    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.

    Prediction engine for a network-based service
    4.
    发明授权
    Prediction engine for a network-based service 有权

    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.

    DYNAMIC ROUTE RECOMMENDATION FOR SERVICE PROVIDERS
    6.
    发明申请
    DYNAMIC ROUTE RECOMMENDATION FOR SERVICE PROVIDERS 有权

    公开(公告)号：US20250012578A1

    公开(公告)日：2025-01-09

    申请号：US18892090

    申请日：2024-09-20

    Applicant: Uber Technologies, Inc.

    Inventor： Awaneesh Verma ,  Ashley Quitoriano ,  Dor Levi ,  Emily Reinhold ,  Junjia He ,  Rei Chiang ,  Shicong Meng

    IPC: G01C21/34 ,  G01C21/36 ,  G06Q30/0283 ,  G06Q50/40

    Abstract: A system can classify at least one sub-region of the one or more sub-regions as an undersupplied sub-region based on transport supply versus transport demand. The system can provide, to a computing device of a service provider over one or more networks, one or more proposals on a user interface of the computing device, each proposal being associated with an undersupplied sub-region in which transport requests having start locations within the undersupplied sub-region are to be fulfilled by the service provider over for a given amount of time. The system may then initiate a proposal for the corresponding undersupplied sub-region for the service provider by matching the service provider with one or more transport requests having start locations within the undersupplied sub-region.

    REAL-TIME SERVICE PROVIDER PROGRESS MONITORING
    10.
    发明申请
    REAL-TIME SERVICE PROVIDER PROGRESS MONITORING 有权

    公开(公告)号：US20210295707A1

    公开(公告)日：2021-09-23

    申请号：US17341761

    申请日：2021-06-08

    Applicant: Uber Technologies, Inc.

    Inventor： Ashley Quitoriano ,  Kevin Spieser ,  Parijat Mazumdar ,  Rei Chiang ,  Shicong Meng ,  Zhi Li

    IPC: G08G1/00

    Abstract: A network computer system receives request data from computing devices of requesting users in a sub-region of a service area. The system further receives location data from computing devices of drivers operating in the sub-region. Based on the request data and the location data, the system determines a service condition for the sub-region. Based on the service condition indicating that the sub-region is in a driver oversupply state, the system transmits a service instruction to computing devices of a plurality of drivers within the sub-region, the service instruction being associated with a target outside the sub-region and a set of progress conditions. The system then periodically determines, for each driver of the plurality of drivers, an estimated time of arrival (ETA) to the target from a current position of the driver to determine whether the driver is satisfying the set of progress conditions of the service instruction.

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