Anonymized Panelist Data Sharing via Log Correlation
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Solution Overview
Problem
Existing systems for monitoring content consumption by panelists are limited in sharing contextual information without violating agreements that prohibit sharing cookie information, leading to incomplete data for online shared content networks.
Innovation Solution
A system and method that includes a panel information receiver, log correlation module, and panelist data receiver to collect and transmit anonymized data about panelists' content access without sharing actual cookie information, using techniques like bloom filtering to preserve anonymity and encrypt logs to remove personally identifiable information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cookie information is shared with third parties, then content consumption tracking accuracy is improved, but agreement compliance deteriorates
Solution Approach 1:
The patent extracts only the essential tracking information (content access patterns, panelist behavior) from the complete cookie data, separating useful analytical information from personally identifiable cookie identifiers. This allows sharing useful data with third parties while excluding the specific cookie information that would violate agreements.
Solution Approach 2:
The patent introduces an intermediary processing system that receives complete cookie data, anonymizes it by removing personally identifiable information, and then shares the processed data with third parties. This intermediary layer ensures agreement compliance while still enabling content consumption tracking.
2Reliability
If anonymized data is shared instead of cookie information, then agreement compliance is improved, but data completeness deteriorates
Solution Approach 1:
The patent creates a copy of the essential tracking information that captures all necessary content consumption patterns without including the original cookie identifiers. This copy contains sufficient detail for accurate tracking while being safe to share under agreement constraints.
Solution Approach 2:
The patent transforms the data by changing its parameters - converting personally identifiable cookie data into anonymized aggregate statistics that preserve content consumption patterns while removing individual identification capabilities. This maintains data utility for tracking while ensuring compliance.
3Loss of information
If detailed panelist information is collected, then content access analysis is improved, but user privacy deteriorates
Solution Approach 1:
The patent segments panelist information into separate categories: identifiable personal information (excluded to protect privacy) and anonymized content access patterns (included for analysis). This segmentation allows detailed content tracking while preserving user privacy by keeping personal identifiers separate.
Solution Approach 2:
The patent extracts and removes personally identifiable information from the collected data, keeping only the anonymized content access patterns. This extraction process maintains detailed content analysis capabilities while eliminating privacy risks associated with storing personal identifiers.
Data Source
AI summary
A system and method for sharing panelist information without providing cookie information are provided. The system includes a panel information receiver to receive information from a panel, the information being defined by each of the panelist's access to cookie information sourced from an online shared content network; a log correlation module to create a log based on a correlation of the information and accesses to the cookies via the online shared content network; a log transmitter to transmit the log to the panel; and a panelist data receiver to receive data from panel, the data being defined as content accesses by each of the panelists.