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:
Jul. 21, 2026

Filed:

Mar. 25, 2021
Applicant:

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

Inventors:

Haocheng Liu, Beijing, CN;

Yuan Li, Beijing, CN;

Guobin Xie, Beijing, CN;

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 30/0251 (2023.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01); G06Q 30/0201 (2023.01); H04L 67/50 (2022.01);
U.S. Cl.
CPC ...
G06Q 30/0256 (2013.01); G06F 18/213 (2023.01); G06F 18/214 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 30/0201 (2013.01); H04L 67/535 (2022.05);
Abstract

A method and apparatus for training an online prediction model are provided. The method may include: acquiring an offline sample feature and an online sample feature of a user, the offline sample feature including a user portrait feature; offline training to obtain an offline recommendation model, based on the offline sample feature and the online sample feature of the user; acquiring a latest online feature of the user, and online training to obtain an online learning model based on the latest online feature of the user, the online learning model being used to adapt the latest online feature for use as an online sample feature to be input into the trained offline recommendation model; and synchronizing the offline recommendation model to online, and inputting the latest online feature output by the online learning model into the offline recommendation model to generate an online prediction model.


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