Device Identifier-Based User Authentication and Content Delivery
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Solution Overview
Problem
Existing systems face challenges in accurately identifying mobile device users with limited resources, such as smartphones, which have restricted input mechanisms and processing capabilities, making it difficult to provide personalized content and credit offers in real-time, especially when users are in specific locations.
Innovation Solution
The system uses location history to predict user identity and collect minimal personal information for authentication, employing geofencing and beacon technologies to deliver personalized content and credit offers by pre-populating application forms and initiating reviews, while optimizing resource usage and reducing data transmission requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If substantial personally identifiable information is collected for user identification, then authentication accuracy is improved, but resource consumption and data transmission requirements increase
Solution Approach 1:
The patent extracts and utilizes device-specific identifiers (such as device ID, hardware characteristics) that are already present on the mobile device to identify users, rather than requiring collection of substantial personally identifiable information. This extraction approach achieves accurate user identification while minimizing data transmission requirements and resource consumption.
Solution Approach 2:
The system introduces an intermediary identification mechanism that uses device characteristics as a mediator between the user and the content delivery system. Instead of directly processing substantial PII, the system uses device identifiers as an intermediary key to retrieve user information from databases, reducing the amount of data that needs to be transmitted and processed in real-time.
2Measurement precision
If complex authentication processes are implemented, then user identification accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system implements self-service authentication by automatically capturing device identifiers and using them to identify users without requiring manual input. The mobile device itself provides the identification information through its inherent characteristics, eliminating the need for users to manually enter substantial personal information while maintaining accurate user identification.
Solution Approach 2:
The system performs preliminary actions by pre-configuring device identifiers and establishing identification mechanisms before the authentication process begins. Device characteristics are captured and stored in advance, so that during actual authentication, the system can quickly retrieve and match these pre-established identifiers without requiring complex real-time user input.
3Adaptability or versatility
If real-time content personalization is provided, then user experience is improved, but processing time and resource usage increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing user profile information and content recommendations in databases during off-peak times. When a user is identified through device characteristics, the system can quickly retrieve pre-prepared personalized content without performing complex real-time analysis, thereby reducing processing time while maintaining content personalization.
Solution Approach 2:
The system applies local quality by delivering personalized content specifically tailored to each user's location and device characteristics. Rather than providing generic content to all users, the system uses the identified device information to retrieve and deliver location-specific, device-specific content recommendations, achieving high adaptability with efficient processing.
Data Source
AI summary
Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.