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:
Nov. 08, 2022

Filed:

Jun. 24, 2015
Applicant:

Yahoo Holdings, Inc., Sunnyvale, CA (US);

Inventors:

Nadav Golbandi, Sunnyvale, CA (US);

Chao Wang, Beijing, CN;

Assignee:

YAHOO ASSETS LLC, Dulles, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 5/04 (2006.01); G06N 20/00 (2019.01); G06Q 30/02 (2012.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06N 5/04 (2013.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); G06Q 30/0241 (2013.01); G06Q 30/0269 (2013.01);
Abstract

The present disclosure relates to computer systems implementing methods for online content recommendation. The computer systems may be configured to receive a training sample from a first client device corresponding to a predefined feedback interacting with online content displayed on the first client device; update a preexisting training database in real-time based on the received training sample to generate an updated training sample, wherein prior to being updated based on the training sample received from the first client, the training database includes a set of historical training samples; conduct a regression training to a computer learning model in real-time, using the updated training sample, to produce a set of trained parameters for an online content recommendation model; call the set of trained parameters in real-time to determine recommend online content for a second user with the online content recommendation model; and send the recommended online content to a second client device of the second user.


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