Invention Grant
- Patent Title: Efficiency of a transportation matching system using geocoded provider models
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Application No.: US16780712Application Date: 2020-02-03
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Publication No.: US11494714B2Publication Date: 2022-11-08
- Inventor: Gaurav Gupta , Ehud Milo , Omar Khalid , Amy J. Kim , Jacky Yi Han Lu , Richard Zhao , Robert A. Farmer
- Applicant: Lyft, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Lyft, Inc.
- Current Assignee: Lyft, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Keller Preece PLLC
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06N20/00

Abstract:
This disclosure describes a transportation matching system that manages the allocation of transportation providers by training and utilizing multiple machine-learning models to identify, allocate, and serve specific transportation providers with customized opportunities to relocate the transportation providers between geocoded areas in a geocoded region. For instance, the transportation matching system trains and utilizes an incremental provider model, a provider allocation model, and personalized provider behavioral models as well as a customized provider interface generator to satisfy anticipated transportation requests and improve transportation matching within a geocoded region.
Public/Granted literature
- US20200250600A1 EFFICIENCY OF A TRANSPORTATION MATCHING SYSTEM USING GEOCODED PROVIDER MODELS Public/Granted day:2020-08-06
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