Identifier Mapping via Activity Log Analysis
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Solution Overview
Problem
Current targeted advertising systems fail to effectively utilize unregistered identifiers and do not accurately link multiple user identifiers, resulting in missed opportunities for advertisers to reach a broader audience with customized ads.
Innovation Solution
A system and method for mapping identifiers, where activity logs are analyzed to link registered and unregistered identifiers based on shared attributes, such as user behavior or browsing sessions, to enrich user profiles and improve targeted advertisement accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If only registered identifiers are used for targeted advertising, then advertisement accuracy is maintained, but the target audience coverage is limited
Solution Approach 1:
The patent introduces activity logs as an intermediary data source that bridges registered and unregistered identifiers. By analyzing activity logs to find behavioral patterns and mapping them to registered user profiles, the system enables unregistered identifiers to be associated with user information indirectly, thus expanding target audience coverage while maintaining advertisement accuracy through the mediating role of activity log analysis
Solution Approach 2:
The system performs preliminary analysis of activity logs to identify and map unregistered identifiers to registered users before advertisement delivery. By pre-processing activity logs to establish identifier mappings and enrich user profiles in advance, the system prepares the data foundation that allows both registered and unregistered identifiers to be effectively utilized for targeted advertising
2Loss of information
If multiple identifiers per user are not linked together, then system complexity is reduced, but user profile completeness deteriorates
Solution Approach 1:
The patent merges multiple identifiers belonging to the same user by analyzing activity logs for common behavioral patterns. When activity logs show that multiple identifiers exhibit similar user behaviors, the system combines these identifiers into a unified user profile, thereby achieving complete user information aggregation while managing complexity through pattern-based consolidation rather than complex manual linking
Solution Approach 2:
Activity logs serve as an intermediary that facilitates the linking of multiple identifiers. By using activity log analysis as the mediating mechanism, the system automatically identifies relationships between different identifiers without requiring complex manual mapping, thus reducing identifier management complexity while achieving complete user profiles
3Quantity of substance
If activity logs are not analyzed to reduce unregistered identifiers, then processing time is reduced, but advertisement revenue opportunity is lost
Solution Approach 1:
The system applies partial action by selectively analyzing activity logs only for identifiers that show potential mapping opportunities. Rather than processing all activity logs exhaustively, the system focuses on identifying and mapping unregistered identifiers that exhibit behavioral patterns consistent with registered users, thus achieving meaningful target audience expansion without proportionally increasing processing time
Solution Approach 2:
The activity log analysis system performs self-service by automatically identifying and mapping unregistered identifiers without requiring manual intervention. The system autonomously processes activity logs, detects patterns, and establishes identifier mappings, thereby reducing the need for extensive manual processing while still capturing revenue opportunities from previously untargetable identifiers
Data Source
AI summary
Systems and methods for mapping identifiers are provided. Activity logs illustrate activities and/or events associated with a plurality of identifiers. The identifiers may be registered identifiers, unregistered identifiers, or a combination thereof. When at least two identifiers share a linking attribute, the at least two identifiers may be mapped to one another, along with information associated therewith (if any) such as a user profile. Each subsequent line of an activity line may also be mapped to the identifiers of the initial single line when a linking attribute or an overlapping identifier is present. A number of identifiers associated with each other may be increased by mapping identifiers and, thus, a targeted audience for a customized advertisement may, in turn, be increased.