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:
Apr. 27, 2021

Filed:

Sep. 09, 2019
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Mengmeng Zhang, Beijing, CN;

Jingyu Ye, Beijing, CN;

Xi Zhang, Beijing, CN;

Hualong Zu, Beijing, CN;

Xinya Zhang, Beijing, CN;

Lingjin Xu, Beijing, CN;

Xiaochen Jia, Beijing, CN;

Sunhonglu Dong, Beijing, CN;

Zhongji Fan, Beijing, CN;

Li Wan, Beijing, CN;

Bo Zhang, Beijing, CN;

Liuhui Zhang, Beijing, CN;

Wenming Wang, Beijing, CN;

Jiaguang Lu, Beijing, CN;

Shuai Wang, Beijing, CN;

Gang Zhang, Beijing, CN;

Qiang Ju, Beijing, CN;

Xiaonan He, Beijing, CN;

Wensong He, Beijing, CN;

Yafei Miao, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 12/919 (2013.01); G06F 16/9035 (2019.01); G10L 15/22 (2006.01); H04L 12/923 (2013.01); H04L 12/911 (2013.01); H04L 12/927 (2013.01);
U.S. Cl.
CPC ...
H04L 47/765 (2013.01); G06F 16/9035 (2019.01); G10L 15/22 (2013.01); H04L 47/762 (2013.01); H04L 47/783 (2013.01); H04L 47/808 (2013.01); H04L 47/821 (2013.01); H04L 47/822 (2013.01); H04L 47/827 (2013.01); G10L 2015/223 (2013.01); G10L 2015/225 (2013.01);
Abstract

The present disclosure provides a resource pushing method, a device and a storage medium for a smart device, the method includes: acquiring a first pushing resource according to a preset rule, where the first pushing resource is used by the smart device to interact with a user, pushing the first pushing resource to the user. In the solution, relevant resources are actively acquired according to behavior information of the user, triggering and hotspots, and are pushed to the user, thereby saving the cost in resource querying by the user, and increasing the exposure of platform resources.


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