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:

Feb. 07, 2020
Applicant:

Oracle International Corporation, Redwood Shores, CA (US);

Inventors:

Kiran Bellare, Los Altos, CA (US);

Hareesh S. Kadlabalu, Plainview, NY (US);

Kamal Kapur, New York, NY (US);

David Jones, Colorado Springs, CO (US);

David Kamholz, Westcliffe, CO (US);

Assignee:

ORACLE INTERNATIONAL CORPORATION, Redwood Shores, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/9535 (2019.01); G06Q 30/06 (2012.01); G06F 16/951 (2019.01); G06F 40/30 (2020.01);
U.S. Cl.
CPC ...
G06F 16/9535 (2019.01); G06F 16/951 (2019.01); G06F 40/30 (2020.01); G06Q 30/0631 (2013.01);
Abstract

In accordance with an embodiment, described herein is a system and method for delivery of content based on matching of user profiles with content metadata. The system enables delivery of personalized content, without the overhead of managing segment targeting rules, while providing content publishers or marketers with complete control over such personalization. A recommendation service or application program interface, provided by a computer, cloud computing environment, or other type of computer system, enables receipt and processing of requests, from client devices, for personalized content. A recommendation engine delivers content assets in response to a request from a client device. The recommendation engine determines a content channel and a user identity associated with the request, and then delivers content assets based on rules governing the matching of content asset metadata with the user profile. While content classification evolves over time, so also does the personalization of delivered content.


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