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:
Mar. 09, 2021

Filed:

Sep. 14, 2017
Applicant:

Amadeus S.a.s., Biot, FR;

Inventors:

Rodrigo Acuna Agost, Golfe Juan, FR;

Alejandro Ricardo Mottini D'Oliveira, Nice, FR;

David Renaudie, Valbonne, FR;

Assignee:

AMADEUS S.A.S., Biot, FR;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 30/02 (2012.01); G06N 20/00 (2019.01); G06N 5/02 (2006.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 5/022 (2013.01); G06Q 30/0242 (2013.01); G06Q 30/0275 (2013.01);
Abstract

Methods and computing apparatus for retrieving records relating to content placement events and records relating to user interaction events. A set of enriched training feature vectors is computed from raw feature values, and used with interaction event tags to train a machine learning model. Information is received relating to an online content placement slot and information is received relating to a user to whom content within the online content placement slot will be displayed. An enriched estimation feature vector is computed based upon a content item selected for placement within the online content placement slot, the information relating to the user, and the information relating to the online content placement slot. A machine learning model is executed to determine an estimate of likelihood of the user interacting with the selected content item, based upon the enriched estimation feature vector.


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