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:
Dec. 20, 2022

Filed:

Apr. 16, 2020
Applicant:

Huawei Technologies Co., Ltd., Guangdong, CN;

Inventors:

Ruiming Tang, Shenzhen, CN;

Minzhe Niu, Shanghai, CN;

Yanru Qu, Shenzhen, CN;

Weinan Zhang, Shenzhen, CN;

Yong Yu, Shenzhen, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/04 (2006.01); G06F 17/16 (2006.01); G06K 9/62 (2022.01); G06N 3/063 (2006.01);
U.S. Cl.
CPC ...
G06N 3/0472 (2013.01); G06F 17/16 (2013.01); G06K 9/6256 (2013.01); G06N 3/0445 (2013.01); G06N 3/063 (2013.01);
Abstract

Example user behavior prediction methods and apparatus are described. One example method includes obtaining a first contribution value of each piece of characteristic data for a specified behavior after obtaining behavior prediction information including a plurality of pieces of characteristic data. Every N pieces of characteristic data in the plurality of pieces of characteristic data may be processed by using one corresponding characteristic interaction model, to obtain a second contribution value of the every N pieces of characteristic data for the specified behavior. Finally, an execution probability of executing the specified behavior by a user may be determined based on the obtained first contribution value and the obtained second contribution value, to predict a user behavior. In the example method, interaction impact of the plurality of pieces of characteristic data on the specified behavior is considered during behavior prediction.


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