The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 31, 2022

Filed:

Sep. 29, 2020
Applicant:

Beijing Didi Infinity Technology and Development Co., Ltd., Beijing, CN;

Inventors:

Liang Tang, Santa Clara, CA (US);

Bo Tan, Sunnyvale, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); G01C 21/36 (2006.01); G06Q 50/30 (2012.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01); G06Q 10/02 (2012.01); G06Q 30/02 (2012.01);
U.S. Cl.
CPC ...
G01C 21/3438 (2013.01); G01C 21/3453 (2013.01); G01C 21/3617 (2013.01); G01C 21/3626 (2013.01); G01C 21/3679 (2013.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06Q 10/02 (2013.01); G06Q 30/0202 (2013.01); G06Q 30/0282 (2013.01); G06Q 30/0284 (2013.01); G06Q 50/30 (2013.01);
Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for ranking alternative destination recommendations are provided. One of the methods comprises: receiving a trip request comprising an origin and an initial destination; determining one or more alternative destinations based on one or more features of the initial destination; for each of the alternative destinations, determining, based on a machine-learning classifier, a probability for the rider to select a trip option from the origin to the alternative destination, where the machine-learning classifier is trained to accept input comprising one or more attributes of the trip option and generate output comprising the probability for the rider to select the alternative destination; generating a score for each of the alternative destinations based at least on the probability; and ranking, by the computing device of the ridesharing platform, the alternative destinations based on the scores.


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