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:
Jun. 29, 2021

Filed:

Jun. 22, 2018
Applicant:

Criteo SA, Paris, FR;

Inventors:

Clément Calauzènes, Paris, FR;

Christophe Renaudin, Paris, FR;

Alexandre Gilotte, Paris, FR;

Eustache Diemert, Claix, FR;

Assignee:

Criteo SA, Paris, FR;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 30/00 (2012.01); G06Q 30/02 (2012.01); G06F 7/58 (2006.01);
U.S. Cl.
CPC ...
G06Q 30/0275 (2013.01); G06Q 30/0244 (2013.01); G06Q 30/0273 (2013.01); G06Q 30/0277 (2013.01); G06F 7/588 (2013.01);
Abstract

Methods and systems are described herein for incremental bidding for electronic advertisements. A computing device generates, for a user during a first time period, first randomized bids for available impression opportunities, the first randomized bids based upon an estimated value and a first random factor and using a context of bid requests. The computing device transmits the first randomized bids to a remote device. The computing device determines whether interaction events associated with impression opportunities occurred. The computing device estimates second randomized bids based upon an estimated value and a second random factor and using the context. The computing device estimates a relative incrementality of a bidding policy based upon the second randomized bids over a bidding policy based upon the first randomized bids, and optimizes the bidding policy based upon second randomized bids. The computing device changes a production bidding policy based upon the optimized policy.


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