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.
Patent No.:
Date of Patent:
Nov. 05, 2019
Filed:
Mar. 15, 2017
Applicant:
Yahoo Holdings, Inc., Sunnyvale, CA (US);
Inventors:
Liang Wang, Sunnyvale, CA (US);
Shengjun Pan, San Jose, CA (US);
Kuang-chih Lee, Union City, CA (US);
Quan Lu, San Diego, CA (US);
Junwei Pan, Sunnyvale, CA (US);
Assignee:
Oath Inc., New York, NY (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/954 (2019.01); H04L 29/08 (2006.01); G06N 20/00 (2019.01); G06F 16/9535 (2019.01);
U.S. Cl.
CPC ...
G06F 16/954 (2019.01); G06F 16/9535 (2019.01); G06N 20/00 (2019.01); H04L 67/02 (2013.01); H04L 67/22 (2013.01); H04L 67/306 (2013.01);
Abstract
To maximize the accuracy and efficiency of predicting users that will enjoy targeted content, a proposed content selection solution looks to combine a first strategy of utilizing selection rules with a second strategy of utilizing machine based learning models. By combining the selection rules-based approach and the machine learning model-based approach, the proposed content selection solution is able to consider and recommend a wider range of users for each available content.