Cross-Ecosystem User Identifier Mapping via Co-location
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Solution Overview
Problem
Existing technologies lack the ability to effectively link user identifiers across different device ecosystems, such as mobile devices and non-mobile devices, for personalized services like targeted advertising, due to the lack of common identifier mapping services between diverse ecosystems.
Innovation Solution
A system with a processing component and a mapping engine that maps user identifiers between different device ecosystems by utilizing co-location occurrences of identifiers across various network accesses to associate mobile device identifiers with identifiers from other devices, even when they operate within different ecosystems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If user identifiers from different device ecosystems are mapped together using co-location occurrences, then the ability to provide personalized services across devices is improved, but the complexity of the mapping system increases
Solution Approach 1:
The patent introduces a mapping system that acts as an intermediary between different device ecosystems. This mapping system uses co-location occurrence data as a mediator to link identifiers from mobile and non-mobile devices without requiring direct integration between the ecosystems, thereby enabling cross-device personalization while managing system complexity through indirect connection.
Solution Approach 2:
The mapping system is designed to handle multiple device ecosystems simultaneously using a universal approach. By implementing a single mapping mechanism that works across different device types and ecosystems, the system avoids the complexity of creating separate mapping solutions for each ecosystem pair,从而实现 multi-functional identifier mapping capability.
2Measurement precision
If co-location occurrence data is collected and processed across multiple networks and devices, then the accuracy of user identification is improved, but the computational resources and processing time increase
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing co-location occurrence data in a database before mapping operations are needed. This pre-processing allows the mapping system to quickly retrieve and analyze historical co-location patterns when identifier mapping is required, reducing real-time computational burden while maintaining high identification accuracy.
Solution Approach 2:
The patent segments the identifier mapping process into distinct stages: data collection, data storage, and mapping execution. By dividing the overall process into manageable segments, the system can optimize each stage independently, processing co-location data in organized chunks rather than attempting to handle all data simultaneously, thereby improving processing efficiency.
Data Source
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AI summary
Techniques and technologies for mapping user identifiers between different device ecosystems are described. In at least some embodiments, a system includes a processing component, a memory, and a mapping engine configured to map a first identifier associated with a user with a second identifier, at least one of the first or second identifiers being associated with a first device ecosystem; and map a third identifier associated with a second device ecosystem with at least one of the first identifier or the second identifier, the second device ecosystem different from the first device ecosystem, based at least partially on (i) a plurality of first co-location occurrences of the third identifier with the first identifier, and (ii) a plurality of second co-location occurrences of the third identifier with the second identifier. The mapping engine may provide an indication of an association of the third identifier with the user.