-
公开(公告)号：US20200082315A1
公开(公告)日：2020-03-12
申请号：US16125551
申请日：2018-09-07
Applicant: Lyft, Inc.
Inventor： Davide Crapis , Michael Yoshizawa , Gaurav Gupta , Ehud Milo , Akshay Balwally , Cameron Philip Bruggeman , Benjamin Owen Dear , Benedict Kuester , Lei Tang , Jia Yan
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.
-
公开(公告)号：US20200082314A1
公开(公告)日：2020-03-12
申请号：US16125540
申请日：2018-09-07
Applicant: Lyft, Inc.
Inventor： Davide Crapis , Michael Yoshizawa , Gaurav Gupta , Ehud Milo , Akshay Balwally , Jia Yan
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.
-
公开(公告)号：US20200082313A1
公开(公告)日：2020-03-12
申请号：US16125527
申请日：2018-09-07
Applicant: Lyft, Inc.
Inventor： Davide Crapis , Michael Yoshizawa , Gaurav Gupta , Ehud Milo , Akshay Balwally , Jia Yan
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.
-
-
Search Results
3
records
(took 0.015 seconds)
