Device Age Estimation for Targeted Content Delivery
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Solution Overview
Problem
Current content delivery systems face challenges in providing relevant content to users based on their interests, as existing advertising management tools lack effective methods to determine the optimal timing and type of content to display to users, leading to inefficiencies in content distribution and user engagement.
Innovation Solution
A method that estimates the relative age of a computing device by analyzing signals such as unique identifiers, usage patterns, and performance metrics, allowing for the selection and delivery of targeted services or advertisements based on the device's characteristics, thereby tailoring content presentation to new or older devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If content is displayed using traditional advertising management tools, then content distribution can be tracked, but content relevance to user interests and device characteristics cannot be effectively determined
Solution Approach 1:
The system performs preliminary analysis of device signals (unique identifiers, usage patterns, performance metrics) before content delivery to estimate device age and characteristics. This advance preparation enables tailored content selection based on device lifecycle stage, improving relevance without losing informational opportunities.
Solution Approach 2:
The patent introduces an intermediary analysis layer that processes device signals and extracts meaningful characteristics (such as relative age estimation) before matching content to devices. This intermediary step transforms raw device data into actionable insights about device state and user needs.
2Adaptability or versatility
If traditional advertising tools are used to manage content display, then basic performance tracking is available, but intelligent matching of content to user interests and device state cannot be achieved
Solution Approach 1:
The content delivery system is segmented into distinct functional modules: signal extraction module that processes device data, relative age estimation module that determines device lifecycle stage, and content selection module that matches content to device characteristics. This segmentation enables sophisticated adaptability while maintaining manageable system complexity through modular design.
Solution Approach 2:
The system changes the parameter used for content selection from traditional demographic or behavioral data to device relative age (a new parameter derived from signal analysis). This parameter change enables novel content matching strategies tailored to device lifecycle stages without requiring complex system restructuring.
3Productivity
If content is delivered without considering device age or characteristics, then system simplicity is maintained, but content distribution efficiency and user engagement are reduced
Solution Approach 1:
The device effectively serves itself by providing signals (unique identifiers, usage patterns, performance metrics) that reveal its own characteristics. The system extracts relative age information from these self-provided signals without requiring external intervention or complex active sensing, improving efficiency while limiting complexity growth.
Solution Approach 2:
The patent replaces complex active device characterization methods with analysis of passive signals already present in device communications. Instead of mechanically probing device properties, the system substitutes signal pattern recognition and relative age estimation algorithms, reducing the mechanical complexity of device interaction while improving content distribution efficiency.
Data Source
AI summary
A method of providing services to computing devices includes establishing a connection over the Internet with a computing device; receiving data from the computing device during the connection; extracting a signal from the data received from the computing device; estimating a relative age of the computing device based on the extracted signal; selecting a service from a plurality of services based on the estimated relative age of the computing device; and providing the selected service to the computing device.