DETERMINING ACCURACY OF A MODEL DETERMINING A LIKELIHOOD OF A USER PERFORMING AN INFREQUENT ACTION AFTER PRESENTATION OF CONTENT

Patent №

US 11,222,366

Granted

2022-01-11

Filed 2016

Owner

FACEBOOK, INC.

AI components

2

evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15299330

An online system selecting content items for presentation to its users accounts for likelihoods of users performing actions associated with content items when selecting content items. The online system maintains models determining likelihoods of users performing various actions. If a content item is associated with an action that infrequently occurs, information for determining the model for the action is limited, so the online system increases a bid amount associated with the content item during a time interval to an amount based on a likelihood of the user performing a more frequently occurring alternative action and an average bid amount for the alternative action from content items previously presented to users. The online system also determines an amount based on the model for the action and the bid amount for during the time interval and stops increasing the bid amount when the rate of change has less than a threshold magnitude.

AI classification

AI hardware0.99
Evolutionary computation0.93
Knowledge representation0.46
Vision0.21
Planning0.04
Machine learning0.04
Natural language0.00
Speech0.00

Ownership

FACEBOOK, INC.

assignment · 410020673

Assignors

BHALGAT, ANAND SUMATILAL, SONG, HAO

On an employer assignment, the assignors are typically the inventors.

© 2026 NYSGPT2525 LLC