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. 09, 2023

Filed:

Jun. 20, 2018
Applicant:

Beijing Baidu Netcom Science and Technology Co., Ltd., Haidian District Beijing, CN;

Inventors:

Chao Qiao, Beijing, CN;

Bo Huang, Beijing, CN;

Daren Li, Beijing, CN;

Qiaoqiao She, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06N 7/01 (2023.01); G06N 20/00 (2019.01); G06N 20/20 (2019.01); Y02D 10/00 (2018.01);
Abstract

A method and apparatus for recognizing a low-quality article based on artificial intelligence, a device and a medium. The method comprises: obtaining a user feedback behavior feature of a to-be-recognized article in a news-recommending system; according to the user feedback behavior feature of the to-be-recognized article and a predetermined low-quality article recognition model, recognizing whether the to-be-recognized article is a low-quality article. Automatically recognizing whether the to-be-recognized article is a low-quality article according to the user feedback behavior feature of the to-be-recognized article and the predetermined low-quality article recognition model, thereby overcoming the technical problem about consumption of time and effects and low recognition efficiency in manually checking whether the to-be-recognized article is a low-quality article in the prior art, not only substantially saving the time spent in recognizing whether the to-be-recognized article is the low-quality article, saving manpower consumed in recognition, improving the recognition efficiency of the low-quality article.


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