US 11,989,669 B2
Intelligently customizing a cancellation notice for cancellation of a transportation request based on transportation features
Jimmy Young, San Francisco, CA (US); Mohammad Ali Motie Share, San Francisco, CA (US); Humboldt Jayme Ramirez, Vallejo, CA (US); Alex Collier Mazure, IV, San Francisco, CA (US); and Bao Kham Chau, Oakland, CA (US)
Assigned to Lyft, Inc., San Francisco, CA (US)
Filed by Lyft, Inc., San Francisco, CA (US)
Filed on Nov. 12, 2019, as Appl. No. 16/681,178.
Prior Publication US 2021/0142229 A1, May 13, 2021
Int. Cl. G06Q 10/02 (2012.01); G01C 21/34 (2006.01); G06N 5/01 (2023.01); G06N 20/00 (2019.01); G06Q 30/0283 (2023.01); G06Q 50/40 (2024.01)
CPC G06Q 10/02 (2013.01) [G06N 20/00 (2019.01); G06Q 30/0283 (2013.01); G06Q 50/40 (2024.01)] 20 Claims
OG exemplary drawing
 
1. A system comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one processor, causes the system to:
train a conversion-machine-learning model utilizing ground-truth-conversions and historical transportation features comprising historical cancellation penalties by:
generating predicted conversion probabilities;
comparing the predicted conversion probabilities with ground-truth-conversion probabilities utilizing a loss function to determine a measure of loss; and
modifying parameters of the conversion-machine-learning model based on the measure of loss;
receive a transportation request from a requestor device;
extract a set of transportation features corresponding to the transportation request;
generate, from the set of transportation features utilizing the conversion-machine-learning model, a first conversion probability that a transportation provider transports a requestor associated with the requestor device if a cancellation penalty for cancelling the transportation request is assessed against the requestor;
generate, from the set of transportation features utilizing the conversion-machine-learning model, a second conversion probability that a transportation provider transports the requestor if the cancellation penalty for cancelling the transportation request is not assessed against the requestor; and
based on the first conversion probability and the second conversion probability, provide a customized cancellation notice to the requestor device in response to receiving an indication of a selection to cancel the transportation request from the requestor device.