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AssigneeLyft, Inc.
InventorsRicky Chachra, Tzu-Hsin Chiao, Ashivni Shekhawat, Christopher Sholley, Jerome Hong-Phat Thai, Adriel Frederick
Estimating the term…
This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
A method comprising:
A system comprising:
A non-transitory computer readable medium storing instructions thereon that, when executed by at least one processor, cause a system to:
Dependencies are inferred from the claim text.