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公开(公告)号：US20230068492A1
公开(公告)日：2023-03-02
申请号：US17461602
申请日：2021-08-30
Applicant: Lyft, Inc.
Inventor： Sushant Deepak Bhadkamkar , David Florian Kayode Ikuye , Sravanthi Kadali , Charles Parker Spielman
IPC: G06F3/0482 , G06F3/0484 , G06F16/951 , G06F16/9538
Abstract: The present application discloses systems, methods, and computer-readable media that can intelligently generate a graphical user interface (GUI) having expandable and/or collapsible interface elements that flexibly, efficiently, and accurately provide transportation mode options and transportation sub-options on a computing device. For example, based on monitored transportation features of provider devices and requestor devices, the disclosed systems can dynamically determine a first tier of transportation mode option interface elements and a second tier of transportation sub-option interface elements within accordion-based elements that are operable to display and hide the second tier. Additionally, the disclosed systems can, based on the monitored transportation features of provider devices and requestor devices, dynamically control the expanded (or collapsed) states, positioning, availability states, and/or preselection of accordion-based selectable transportation mode option interface elements and/or transportation sub-option interface elements within a GUI.
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2.发明申请公开(公告)号：US20220076170A1
公开(公告)日：2022-03-10
申请号：US17014788
申请日：2020-09-08
Applicant: Lyft, Inc.
Inventor： Michael Kae-Uei Chang , David Florian Kayode Ikuye , Keshav Puranmalka , Dan Xiaoyu Yu , Conglei Zhang
Abstract: The present disclosure relates to systems, non-transitory computer readable media, and methods that provide graphical user interfaces comprising future transportation options with varying time windows at different transportation values and dynamically analyze the time windows to identify provider devices to fulfill transportation requests based on provider device efficiency metrics. For instance, the disclosed systems can delay selection of a provider device within a future time window utilizing a dynamic threshold provider device efficiency metric. For instance, the disclosed systems can analyze historical distributions of provider devices to generate a transition probability matrix that is utilized to analyze current provider devices and determine a threshold provider device efficiency metric that reflects the likelihood of identifying more efficient matches in the future. The disclosed systems can compare the determined threshold to anticipated efficiency metrics for individual provider devices to generate matches for digital transportation requests.
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