Predicting Advertisement Impact for Audience Selection

Patent №

US 10,037,545

Granted

2018-07-31

Filed 2014

Owner

QUANTCAST CORPORATION

Lab

AI components

3

nlp · kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14562977

An influence system for predicting advertisement impact for audience selection. An advertising probe campaign is operated by sending an advertisement to each entity in a treatment group of entities. A control group of entities which excludes the treatment group entities is selected and no campaign advertising content is sent to the treatment group entities. An influence model is created by comparing features of the treatment group converters to features of the control group converters. An individual frequency cap is selected for each entity that is a candidate for the advertising campaign based on a result of applying the influence model to the features of the candidate entity. The entity may be selected to receive an advertisement based on the individual frequency cap. Some embodiments are integrated with a real time bidding (RTB) exchange and a bid response may be configured based on the results of applying the influence model.

AI classification

Knowledge representation1.00
Planning0.97
Natural language0.59
Evolutionary computation0.15
Machine learning0.00
Vision0.00
Speech0.00
AI hardware0.00

Ownership

QUANTCAST CORPORATION

assignment · 349700780

Assignors

HUANG, TIANXIAO

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

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