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:
Oct. 19, 2021

Filed:

Apr. 18, 2019
Applicant:

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

Inventors:

Jiandong Ding, Beijing, CN;

Xiaofei Zhou, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 50/00 (2012.01); G06Q 50/30 (2012.01); G06K 9/62 (2006.01); G06N 5/04 (2006.01); G06Q 10/02 (2012.01); G06Q 10/04 (2012.01); G06Q 30/02 (2012.01); G06F 16/28 (2019.01); G06F 16/35 (2019.01);
U.S. Cl.
CPC ...
G06Q 50/30 (2013.01); G06K 9/6223 (2013.01); G06K 9/6276 (2013.01); G06N 5/04 (2013.01); G06Q 10/02 (2013.01); G06Q 10/047 (2013.01); G06Q 30/02 (2013.01); G06Q 30/0204 (2013.01); G06F 16/285 (2019.01); G06F 16/35 (2019.01);
Abstract

Systems and methods for recommending transportation means are provided. The method may include obtaining current travel information of a target user and historical travel information and social information of the target user, respectively. The method may further include determining a user type based on the historical travel information, the user type being a first type or a second type. The method may further include, in response to determining that the target user is a user of the first type, determining a first clustering model based on the historical travel information; or in response to determining that the target user is a user of the second type, determining a second clustering model based on the social information. The method may further include recommending a transportation means to the target user based on the clustering model and the current travel information of the target user.


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