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:
Dec. 25, 2018

Filed:

Mar. 13, 2015
Applicant:

Outbrain Inc., New York, NY (US);

Inventors:

Yaron Galai, New York, NY (US);

Roy Bass, Herzliya, IL;

Colin Doody, New York, NY (US);

Yaniv Gilad, New York, NY (US);

Daniel Sternlicht, Netanya, IL;

Ido Tamir, Hod Hasharon, IL;

Assignee:

Outbrain Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 15/173 (2006.01); H04L 29/08 (2006.01); G06F 17/30 (2006.01); G06Q 30/02 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
H04L 67/22 (2013.01); G06F 17/30867 (2013.01); G06Q 30/02 (2013.01); G06Q 50/01 (2013.01); H04L 67/306 (2013.01);
Abstract

A personalized content recommendation provisioning method and system are described, according to various implementations. In an implementation, a user profile is established for each of multiple users within an electronic data environment (e.g., the Internet). The user profile may include information collected via a registration of the user and information identifying content consumed by the user based at least in part on information collected by an associated tracking cookie. The user profile may be used to generate a personalized grade associated with each of multiple candidate content recommendations in a high-quality candidate content recommendation pool, determine a content recommendation scope associated with a user in view of a personalized grade associated with each of the plurality of candidate content recommendations, and display the content recommendation scope to the user.


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