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. 24, 2022

Filed:

May. 27, 2020
Applicant:

Beijing Dajia Internet Information Technology Co., Ltd., Beijing, CN;

Inventors:

Wenkui Ding, Beijing, CN;

Yan Li, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 21/466 (2011.01); H04N 21/442 (2011.01); G06K 9/62 (2022.01); G06N 20/10 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
H04N 21/4668 (2013.01); G06K 9/623 (2013.01); G06K 9/6289 (2013.01); G06N 3/084 (2013.01); G06N 20/10 (2019.01); H04N 21/44218 (2013.01);
Abstract

The present disclosure provides a method, an apparatus, an electronic device, and a storage medium for recommending multimedia resource, and relates to the field of machine learning. The method includes: acquiring features of the multimedia resource based on a convolutional neural network, where the convolutional neural network comprises N convolutional layers, where N is a positive integer; determining user interest information based on an identifier of a recommended user, where the user interest information is corresponding to the feature of each convolutional layer; determining a first feature matrix based on the convolution of convolution kernel and the feature, where the convolution kernel comprises the user interest information; generating user preference data based on the first feature matrix; and recommending the multimedia resource to the recommended user based on the N generated user preference data.


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