Audience Estimation System Using Intermediary Deduplication
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for monitoring user access to internet-accessible media, such as digital television and digital advertisements, face challenges like over-counting and under-counting due to server log tampering and the inability to track repeat views from cached media, and the limitations of third-party cookie usage in deduplicating audience metrics.
Innovation Solution
The proposed solution involves an audience estimation system that uses a combination of panel and census databases to estimate unique audience sizes and durations by redirecting impression requests through partnered database proprietors, leveraging existing databases to collect usage data and employing deduplication techniques to eliminate duplicate impressions across multiple platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If server logs are used to monitor user access to internet media, then access data can be collected, but over-counting and under-counting errors occur due to log tampering and inability to track cached media
Solution Approach 1:
The patent introduces an intermediary verification system that uses multiple data sources (server logs, client-side tracking, partnered database proprietors) to cross-validate audience measurements. This mediator approach prevents single-point failures and tampering by requiring consensus across independent sources, thereby resolving the contradiction between measurement precision and data integrity.
Solution Approach 2:
The system implements feedback loops where audience measurement data is continuously verified and corrected through comparison across multiple platforms and databases. Discrepancies trigger re-measurement and adjustment processes, ensuring that final audience metrics are both precise and reliable by eliminating errors from log tampering or caching issues.
2Measurement precision
If third-party cookies are used for deduplicating audience metrics, then audience size can be estimated, but user privacy is compromised and cookie usage is becoming limited
Solution Approach 1:
The patent uses partnered database proprietors as intermediaries who can perform deduplication without exposing raw user data. These intermediaries hold the necessary user identifiers and perform matching locally, then return only aggregated deduplication results to the audience measurement system, thereby maintaining both measurement precision and user privacy.
Solution Approach 2:
Instead of using actual third-party cookies that track users across the web, the system creates anonymized copies of user identifiers that can be used for deduplication purposes only. These copied identifiers are stripped of personally identifiable information while retaining their uniqueness property, enabling accurate audience measurement without privacy infringement.
3Measurement precision
If multiple databases are combined to estimate audience sizes, then measurement coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments the audience measurement system into independent modular components: server log collection, client-side tracking, partnered database integration, and deduplication modules. Each component operates independently with well-defined interfaces, allowing the system to combine multiple databases for improved measurement precision while managing complexity through modular architecture that can be configured and maintained separately.
Data Source
AI summary
Methods and apparatus to estimate audience sizes and durations for media accesses are disclosed. An example apparatus at least one memory, instructions, and processor circuitry to execute the instructions to select constraint equations corresponding to one or more events, the one or more events corresponding to a first audience and a second audience, the first audience to include the second audience, and determine, based on the constraint equations and an auxiliary equation, event audience sizes corresponding to the first audience and to the one or more events.


