Encoded URL Tracking System for Cross-Platform User Interaction Analysis
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Solution Overview
Problem
The proliferation of content sharing across various platforms makes it challenging to track and analyze user interactions with content, particularly through encoded URL links, leading to difficulties in identifying trends and measuring user influence effectively.
Innovation Solution
A system and method that track user interactions by assigning relevance scores to digital resources based on user actions, such as clicks and shares, and provide search results and trending phrases by aggregating user interactions across multiple platforms, while also identifying influential users and recommending URLs based on user engagement patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content sharing across multiple platforms is increased, then user engagement and content dissemination are improved, but tracking and analyzing user interactions becomes more difficult
Solution Approach 1:
The patent uses encoded URL links as intermediaries to track user interactions across multiple platforms. Each encoded URL contains embedded information about the content and serves as a mediator that enables tracking without requiring direct integration with every platform, thus resolving the contradiction between widespread content sharing and tracking complexity
Solution Approach 2:
The tracking system is designed to be universal and platform-agnostic, using a standardized encoded URL format that can track interactions across different social media platforms and websites. This multi-functional approach allows the same tracking mechanism to work universally, preventing the system from becoming increasingly complex as content sharing expands
2Measurement precision
If user interaction tracking is enhanced, then user influence measurement is improved, but data processing and analysis complexity increases
Solution Approach 1:
The system performs preliminary actions by encoding tracking information directly into URL links before content sharing. This pre-encoding of tracking data allows for automated, real-time measurement of user interactions without requiring complex post-processing analysis, thus improving measurement precision while keeping data processing manageable
Solution Approach 2:
The system implements feedback mechanisms where user interactions with encoded URLs are automatically tracked and fed back into the system for real-time analysis. This automated feedback loop enables precise user influence measurement through standardized metrics, reducing the need for complex manual data processing and analysis
3Loss of information
If encoded URL tracking is implemented across all platforms, then interaction visibility is improved, but system implementation complexity increases
Solution Approach 1:
The system uses a copyable, standardized encoded URL format that can be easily replicated and shared across all platforms. This copying approach allows the same tracking mechanism to be implemented universally without requiring custom integration for each platform, thus improving interaction visibility while maintaining ease of implementation through simple URL generation and sharing
Data Source
AI summary
The present disclosure is directed to providing search results based on user interaction with content. A server receives identification of a plurality of clicks of encoded uniform resource locator (URL) links and identifies, for each of the plurality of clicks, data about a user who clicked an encoded URL link and traffic data associated with a device from which the user clicked the encoded URL link. The server may store a record comprising data about the user and traffic data associated with each click. The server may determine, based on the records, a relevancy score for each content identified from decoding the encoded URL links. The server may communicate, responsive to receiving a request to search content based on a keyword, a set of search results based on the keyword and the relevancy score.