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. 02, 2023

Filed:

Apr. 18, 2018
Applicant:

Meta Platforms, Inc., Menlo Park, CA (US);

Inventors:

Matthew David Stone, Danville, CA (US);

Andrew Donald Yates, San Francisco, CA (US);

Assignee:

Meta Platforms, Inc., Menlo Park, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 67/50 (2022.01); G06K 9/62 (2022.01); G06F 16/907 (2019.01); H04L 67/53 (2022.01);
U.S. Cl.
CPC ...
G06K 9/6267 (2013.01); G06F 16/907 (2019.01); G06K 9/623 (2013.01); G06K 9/6257 (2013.01); H04L 67/53 (2022.05); H04L 67/535 (2022.05);
Abstract

An online system accesses a model attribute store, which stores configuration information and model performance scores for a plurality of models, each model used to predict performance metrics regarding content from a third party system presented to users of the online system. The online system trains a meta-model classifier using the models in the model attribute store, the meta-model classifier trained to predict, for a candidate model, a predicted model performance score of that candidate model. The online system also generates a plurality of candidate models for input to the meta-model classifier, each of the plurality of candidate models including a distinct set of configuration information. The predicted model performance scores for a selected candidate model in the plurality of candidate models is computed using the meta-model classifier, and the online system transmits a report to the third party system indicating predicted model performance score for the selected candidate model.


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