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:
Oct. 25, 2022

Filed:

Sep. 19, 2016
Applicant:

Alibaba Group Holding Limited, George Town, KY;

Inventors:

Shixing Shen, Beijing, CN;

Biyao Wang, Beijing, CN;

Yuzong Yin, Beijing, CN;

Jian Yao, Beijing, CN;

Baiyu Pan, Beijing, CN;

Ji Wang, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2006.01); G06N 7/00 (2006.01); H04N 21/258 (2011.01); G06F 16/9535 (2019.01); G06F 16/00 (2019.01); H04L 67/01 (2022.01);
U.S. Cl.
CPC ...
G06N 7/005 (2013.01); G06F 16/00 (2019.01); G06F 16/9535 (2019.01); H04N 21/258 (2013.01); H04L 67/01 (2022.05);
Abstract

The present disclosure relates to a content recommendation method, device and system. The method includes: recommending a content in a content set to a user based on an average recommendation probability; collecting feedback information on the recommended content from the user's client, wherein the feedback information includes display information and click information, the display information including displaying times and displaying timing of the recommended content on the client, and the click information including clicking times and clicking timing of the recommended content on the client; and determining a sequence of preferred contents from the contents in the content set according to the feedback information, so as to recommend a content to the user based on the sequence of preferred contents. Respective aspects of the present disclosure recommend contents based on a user's feedback so that it is possible to perform reasonable and effective content recommendation for random users who have less click behaviors.


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