Behavioral Fingerprinting for Anonymous Data Matching
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Solution Overview
Problem
Existing systems struggle to collect and utilize anonymous consumer data for marketing purposes while protecting consumer privacy and adhering to regulations.
Innovation Solution
A system that uses behavioral markers to generate behavioral fingerprints from anonymous user data, allowing for the identification and matching of user records without using personally identifiable information (PII).
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If personally identifiable information (PII) is used to match data records from disparate sources, then data matching accuracy is improved, but consumer privacy protection deteriorates
Solution Approach 1:
The patent extracts and removes personally identifiable information (PII) from data records, retaining only anonymous identifiers and behavioral data. This extraction allows data matching to continue while eliminating the harmful element (PII) that compromises consumer privacy.
Solution Approach 2:
The patent introduces anonymous identifiers as intermediary elements that mediate between data matching requirements and privacy protection. These anonymous identifiers serve as a substitute for PII, enabling record linkage across disparate sources without exposing personal information.
2Object-affected harmful factors
If anonymous information is used to protect consumer privacy, then privacy protection is improved, but data matching capability deteriorates
Solution Approach 1:
The patent segments data records into distinct components: anonymous identifiers, behavioral data, and metadata. This segmentation allows the system to maintain matching capability through structured anonymous elements while protecting privacy by separating identifiable information.
Solution Approach 2:
The patent transforms data records by changing their parameters - converting PII into anonymous identifiers and extracting behavioral markers. This parameter transformation maintains the essential matching characteristics while altering the privacy-sensitive attributes.
3Productivity
If behavioral markers are extracted from anonymous data, then marketing utility is improved, but data processing complexity increases
Solution Approach 1:
The patent performs preliminary extraction and classification of behavioral markers during the data collection and anonymization phase. By preparing behavioral data in advance, the system enables efficient marketing analysis without requiring complex processing during downstream applications.
Data Source
AI summary
Methods, systems, and computer-readable media for identifying users, records, and/or devices using anonymous source data records associated with consumer activity are described. In general, the consumer activity may relate to consumer interactions with devices and/or content or data through devices. The source data records may be structured, such as associating the source data records with a sequential timeline. Behavioral markers may be generated by the matching system and associated with the source data records. Each behavioral marker may be analyzed across all of the source data records to determine the effectiveness of the behavioral marker to identify unique source data records. One or more of the behavioral markers may be used to generate a behavioral fingerprint. A behavioral fingerprint may be used to identify unique records, devices, and/or users, including identification based on different sets of source data records.