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:
Aug. 25, 2026

Filed:

Nov. 28, 2023
Applicant:

Alipay (Hangzhou) Information Technology Co., Ltd., Hangzhou, CN;

Inventors:

Weiqiang Wang, Hangzhou, CN;

Jinzhen Lin, Hangzhou, CN;

Zhenzhe Ying, Hangzhou, CN;

Lanqing Xue, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/289 (2020.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 40/30 (2020.01); G06F 40/289 (2020.01);
Abstract

The present specification discloses a model training method and apparatus, a service processing method and apparatus, a storage medium, and a device. The model training method includes: obtaining a historical conversation; determining a target conversation content from the historical conversation; inputting the historical conversation into a to-be-trained feature extraction model for the feature extraction model to determine a conversation content feature corresponding to the target conversation content as a first feature based on a conversation content other than the target conversation content in the historical conversation, and to determine a conversation content feature corresponding to the target conversation content as a second feature based on the target conversation content; and training the feature extraction model with an optimization goal of reducing a deviation between the first feature and the second feature, where the trained feature extraction model is used to determine an output conversation content feature corresponding to each input conversation content, and send the output conversation content feature for a receiving end to perform service processing based on the received output conversation content feature.


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