Encoded Link Audience Analysis System
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Solution Overview
Problem
Current systems lack effective methods to analyze and track user interactions with shared online content across multiple platforms, failing to provide comprehensive insights into audience engagement and relevance scoring.
Innovation Solution
The system employs encoded links to track user interactions, including clicks and shares, to generate relevance scores for digital resources, identify trending phrases, and measure user influence, while providing search results and recommended URLs based on user engagement data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If encoded links are used to track user interactions across multiple platforms, then measurement precision of audience engagement is improved, but device complexity increases
Solution Approach 1:
The patent uses encoded links as intermediaries to track user interactions across different platforms. The encoded link contains embedded information about the content and user context, serving as a mediator that bridges multiple platforms without requiring direct integration between them. This allows precise tracking of engagement metrics while maintaining relative system simplicity.
Solution Approach 2:
The tracking system is designed to be universal across multiple online platforms and content types. The encoded link structure and analysis methodology can handle various interaction types (clicks, shares, views) across different digital resources, making the system multi-functional and adaptable to diverse tracking needs without requiring platform-specific implementations.
2Loss of information
If comprehensive user interaction data is collected across multiple platforms, then information completeness about audience behavior is improved, but loss of information increases due to data integration challenges
Solution Approach 1:
The system performs preliminary encoding of tracking information within the link structure before user interaction occurs. The encoded link pre-contains content identifiers, context information, and tracking parameters, so that when the link is accessed, all necessary data is already structured and ready for analysis. This preliminary preparation reduces data integration complexity and prevents information loss during the collection process.
3Measurement precision
If relevance scoring is calculated based on multiple user interaction patterns, then scoring accuracy is improved, but computation time increases
Solution Approach 1:
The system pre-calculates and stores baseline relevance metrics and user interaction patterns in the encoded link structure and associated databases. When a link is accessed, the system retrieves pre-computed data and applies simple scoring rules rather than performing complex real-time calculations. This preliminary preparation maintains high scoring accuracy while significantly reducing computation time at the point of interaction.
Data Source
AI summary
The present disclosure is directed to systems and methods for analyzing content audience by generating respective encoded links for content publishers, determining, for each content publisher, statistics related to user interactions with encoded links, and providing user-specific or aggregate information based on the statistics. The server of a content audience analysis system receives multiple interactions with encoded links generated by the content audience analysis system and linked to resources of a first content publisher. The server may identify from the multiple interactions, multiple cookies assigned to unique client devices. The server may identify second content publishers having resources that were accessed by the client devices corresponding to the multiple cookies via encoded links generated by the server. The server may provide to the first content publisher, data corresponding to the second content publishers having resources accessed by client devices that also accessed the resources of the first content publisher.