ATTRIBUTION MODELING USING WITHHELD OR NEAR IMPRESSIONS

Patent №

US 10,607,254

Granted

2020-03-31

Filed 2016

Owner

GOOGLE INC.

AI components

6

ml · nlp · kr · planning · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

15044923

Systems, methods, and computer-readable storage media for attribution modeling using withheld or near impression data are provided. One method involves determining, for a first content item impression, withheld or near impressions for a competing content item within a content auction. The method further involves identifying a first set of paths including a sequence of events that includes an interaction with the first content item impression. The method further involves identifying a second set of paths, each including the sequence of events with the competing content item impression replacing the first content item impression. The method compares conversion metrics for the first and second paths to determine attribution credit for the first content item impression.

AI classification

Planning1.00
Knowledge representation1.00
Evolutionary computation1.00
Natural language0.84
AI hardware0.81
Machine learning0.76
Vision0.09
Speech0.00

Ownership

GOOGLE INC.

assignment · 377640124

Assignors

SAPP, STEPHANIE, SCHNABL, STEFAN F., VAVER, JON, FAN, RUIXUE

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

© 2026 NYSGPT2525 LLC