Intelligently customizing a cancellation notice for cancellation of a transportation request based on transportation features

A computer-implemented method comprising:

• training a requestor-experience-rating-machine-learning model utilizing ground truth requestor device ratings and historical transportation features;
• receiving a transportation request corresponding to a transportation matching system from a requestor device;
• receiving, from the requestor device, an indication of a selection to cancel the transportation request;
• extracting a set of transportation features corresponding to the transportation request;
• generating, from the set of transportation features utilizing the requestor-experience-rating-machine-learning model, a predicted requestor device rating if a cancellation penalty notification for cancelling the transportation request is transmitted to the requestor device;
• and
• based on the predicted requestor device rating, in response to receiving the indication of the selection to cancel the transportation request from the requestor device, providing a customized cancellation notice for display on the requestor device.

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 requestor-experience-rating-machine-learning model utilizing ground truth requestor device ratings and historical transportation features;
• receive a transportation request corresponding to a transportation matching system from a requestor device;
• receive, from the requestor device, an indication of a selection to cancel the transportation request;
• extract a set of transportation features corresponding to the transportation request;
• generate, from the set of transportation features utilizing the requestor-experience-rating-machine-learning model, a predicted requestor device rating if a cancellation penalty notification for cancelling the transportation request is transmitted to the requestor device;
• and
• based on the predicted requestor device rating, in response to receiving the indication of the selection to cancel the transportation request from the requestor device, provide a customized cancellation notice for display on the requestor device.

A non-transitory computer-readable medium comprising instructions that, when executed by at least one processor, causes a computer system to:

• train a requestor-experience-rating-machine-learning model utilizing ground truth requestor device ratings and historical transportation features;
• receive a transportation request corresponding to a transportation matching system from a requestor device;
• receive, from the requestor device, an indication of a selection to cancel the transportation request;
• extract a set of transportation features corresponding to the transportation request;
• generate, from the set of transportation features utilizing the requestor-experience-rating-machine-learning model, a predicted requestor device rating if a cancellation penalty notification for cancelling the transportation request is transmitted to the requestor device;
• and
• based on the predicted requestor device rating, in response to receiving the indication of the selection to cancel the transportation request from the requestor device, provide a customized cancellation notice for display on the requestor device.