Link Correlation via Identity Parameter Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods fail to effectively correlate user information obtained through download links with the corresponding application installations on user devices, hindering personalized user experiences and data analysis for commercial improvements.
Innovation Solution
A method that detects loading events of web documents containing download instructions, identifies and matches user identity parameters from browsers with those from installed software applications, enabling correlation between link access and application installation, and uses these parameters for personalized experiences and data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If user identity parameters are collected from browsers during web document loading, then user correlation accuracy is improved, but data privacy risks and system complexity increase
Solution Approach 1:
The system segments the user identification process into two distinct phases: (1) collecting identity parameters from browser during web document loading, and (2) matching these parameters with application installation data. This segmentation allows each phase to be optimized independently while maintaining overall system manageability and accuracy.
Solution Approach 2:
The patent introduces an intermediary correlation system that acts as a mediator between web browsing activities and application installation tracking. This intermediary layer processes and matches identity parameters without requiring direct integration between browsers and application stores, thereby reducing system complexity while maintaining correlation accuracy.
2Ease of operation
If identity parameters are automatically filled in application forms, then user experience is improved, but risk of wrong filling increases when parameters are identical across multiple users
Solution Approach 1:
The system applies partial automatic filling by selectively populating form fields based on the uniqueness and reliability of matched identity parameters. When parameters are sufficiently distinctive, automatic filling is applied; when they are generic or identical across users, the system reduces or eliminates automatic filling to prevent errors, thus balancing convenience with accuracy.
3Measurement precision
If download link access and application installation are correlated, then conversion rate measurement is improved, but data processing complexity and time increase
Solution Approach 1:
The system performs preliminary collection and preliminary matching of identity parameters during the web browsing phase, before the application installation occurs. This preliminary action prepares the data in advance, so when installation data becomes available, the correlation process is significantly accelerated, reducing overall processing time while maintaining measurement precision.
Data Source
AI summary
A method of for correlating download link access and application installation, comprising: detecting a loading event during which a browser installed on a client terminal is loading a web document which includes instructions for downloading a software application; identifying at least one first identity parameter indicative of a user and received from the browser; storing the at least one first identity parameter in a memory accessible by at least one server; identifying at least one second identity parameter of the user by an execution of the software application by a processor of the client terminal; and matching between the at least one first identity parameter and the at least one second identity parameter to identify a correlation between the loading event of the web document and the downloading event of the software application.