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:
Feb. 23, 2021

Filed:

May. 04, 2018
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Quan Cheng, Shenzhen, CN;

Yiqun Li, Shenzhen, CN;

Chunhui Wang, Shenzhen, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06F 15/76 (2006.01); G06K 9/62 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0248 (2013.01); G06F 15/76 (2013.01); G06K 9/6259 (2013.01); G06N 20/00 (2019.01); G06Q 30/02 (2013.01); G06Q 30/0277 (2013.01);
Abstract

This application discloses a method and an apparatus for advertisement fraud reduction. A training sample set including multiple training samples is obtained. At least one of the multiple training samples, associated with a fraudulent training user, includes a training click log associated with clicking one or more advertisements by the fraudulent training user. Feature information from the training sample set is extracted. The fraudulent training user and the feature information are associated with a fraudulent user type. A positive sample associated with the feature information is formed based on the at least one of the multiple training samples. A fraudulent user identification model associated with the fraudulent user type is trained based on at least the positive sample. Further, a sample to be identified, associated with a user to be identified, is received. Whether the user is a fraudulent user is determining using the fraudulent user identification model.


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