Demographic Impression Distribution Correction via Jacobian Matrix

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Solution Overview

Problem

Traditional audience measurement methods face errors in demographic impression distributions due to misattributed impressions and inaccurate demographic data, particularly when relying solely on small panels and unverified user data from database proprietors.

Innovation Solution

The method involves extending panel sizes by leveraging demographic information from registered users across various internet databases, using a system that logs impressions and applies a Jacobian Matrix calculation to correct inaccuracies in demographic impression data, ensuring accurate and reliable audience measurements by integrating data from both audience measurement entities and database proprietors.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If traditional panel members with known demographics are used to determine demographic impression distributions, then measurement reliability is improved, but the quantity of measured impressions is limited due to small panel sizes

Engineering Contradiction:

Improvemeasurement reliabilityVSAvoidquantity of measured impressions

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent merges traditional panel member data with unverified user data from database proprietors to create an integrated measurement system. By combining the reliable but limited panel data with the larger quantity of unverified user data, the system achieves both high reliability and large quantity of measured impressions simultaneously

Inventive Principle:

Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces an intermediary verification process that uses Jacobian Matrix calculations to adjust and verify demographic impression data. This intermediary mechanism allows unverified user data to be incorporated while maintaining measurement reliability through mathematical correction of misattributed impressions

Inventive Principle:

Principle #24Intermediary (Mediator)

2Quantity of substance

If unverified user data from database proprietors is used to extend panel size, then quantity of measured impressions is improved, but measurement precision deteriorates due to misattributed impressions

Engineering Contradiction:

Improvequantity of measured impressionsVSAvoidmeasurement precision

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The patent implements a feedback mechanism where the system continuously verifies and corrects demographic impression data using Jacobian Matrix calculations. The verification process provides feedback that identifies and corrects misattributed impressions, thereby maintaining measurement precision even as the quantity of measured impressions increases

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The patent applies parameter changes through mathematical transformations using Jacobian matrices to adjust demographic impression distributions. These parameter transformations correct the precision of unverified user data by calculating and applying correction factors that account for misattributed impressions

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If demographic impression distributions are determined using small panels, then measurement precision is maintained, but productivity is reduced due to limited coverage

Engineering Contradiction:

Improvemeasurement precisionVSAvoidproductivity

Core Design Contradiction:

Measurement precisionVSProductivity

Solution Approach 1:

The patent creates a universal measurement system that serves multiple functions: it maintains precision for known demographics while simultaneously expanding coverage to include unverified users. The system universally applies verification methods across all user types, enabling both precise and comprehensive measurement

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20220198493A1Methods and apparatus to reduce computer-generated errors in computer-generated audience measurement data

Publication Date: 2022.06.23 THE NIELSEN CO (US) LLC

AI summary

An example apparatus includes at least one memory, instructions in the apparatus, and processor circuitry to execute the instructions to generate a reference demographic impression distribution based on first impressions of logged impressions at a first server corresponding to first client devices, access an inaccurate demographic impression distribution based on second impressions corresponding to second client devices, determine an estimated demographic impression distribution based on an inaccurate demographic impression distribution, the estimated demographic impression distribution representative of the second impressions distributed across the different demographic segments, determine a matrix based on a reference demographic impression distribution and Lagrange multiplier values, determine an error indicator value based on the matrix, generate, in response to the error indicator value satisfying a threshold, an accuracy-improved demographic impression distribution, and store, in the at least one memory, the accuracy-improved demographic impression distribution.