Application Event Logging System for Network Tracking Efficiency
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Solution Overview
Problem
Managers of electronic networks face challenges in accurately, efficiently, and dynamically tracking user interactions and application success rates across multiple applications, necessitating a system for broad, accurate, and efficient identification, logging, and reporting of application events.
Innovation Solution
A system that receives user interactions with unique identifiers, determines application-specific keywords, generates interaction logs, and creates query dashboards to track and report application events, including success ratings and failure alerts, using a computer-readable program code executed by processing devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tracking methods are used to monitor user interactions and application success rates, then managers can obtain detailed interaction data, but the tracking process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual tracking mechanisms with an automated computer-based system that receives user interactions, determines application identifiers and keywords, generates interaction logs, and creates query dashboards automatically. This substitution of mechanical/manual processes with automated computational processes directly resolves the contradiction by dramatically improving tracking efficiency while eliminating time losses associated with manual data collection and analysis.
Solution Approach 2:
The system enables self-service tracking where the automated platform independently performs data collection, processing, logging, and reporting functions without requiring manual intervention. The system serves itself by automatically generating interaction logs with unique identifiers, determining application identifiers through keyword analysis, and producing query dashboards that provide real-time insights into application success rates, thereby resolving the efficiency-time contradiction through autonomous operation.
2Measurement precision
If comprehensive data collection is implemented to track all user interactions, then accurate application success rates can be determined, but computational resources and system complexity increase
Solution Approach 1:
The patent segments the comprehensive tracking system into distinct functional modules: receiving user interactions, determining application identifiers, generating interaction logs with unique identifiers, and creating query dashboards. Each module handles a specific aspect of data processing independently, which maintains measurement precision for application success rates while reducing overall system complexity through modular design. The segmentation allows the system to process comprehensive data without becoming unmanageably complex.
Solution Approach 2:
The system performs preliminary actions by pre-generating interaction logs with unique interaction identifiers and organizing data structures before queries are executed. Application identifiers are determined and stored in advance through keyword analysis, and query dashboards are prepared with pre-processed data. This preliminary organization of comprehensive interaction data maintains measurement accuracy while reducing the computational complexity required during actual querying and analysis operations.
3Speed
If real-time reporting is implemented to immediately detect application failures, then managers can respond quickly to issues, but the system requires high processing speed and resources
Solution Approach 1:
The system performs preliminary data processing and organization before real-time queries are executed. Interaction logs are pre-generated with unique identifiers, application identifiers are determined in advance through keyword analysis, and data structures are organized for efficient querying. This preliminary action enables real-time reporting and rapid detection of application failures without requiring excessive computational resources during critical response moments, as the heavy lifting of data processing has already been completed.
Solution Approach 2:
The patent implements local quality optimization by processing and organizing data at specific stages where it is most needed. Interaction logs are generated with local unique identifiers for specific user interactions, application identifiers are determined locally through keyword analysis of individual interactions, and query dashboards are customized with locally relevant data. This localized processing approach enables real-time responsiveness while optimizing computational resource usage by avoiding unnecessary global processing of all data.
Data Source
AI summary
Systems, computer program products, and methods are described herein for identifying, logging and reporting application events in an electronic network. The present invention is configured to receive at least one user interaction associated with at least one application, wherein the user interaction comprises a user identifier associated with a user account and an interaction identifier associated with the at least one user interaction; determine at least one interaction keyword based on the at least one user interaction; generate a specific interaction log comprising the at least one user interaction and the at least one interaction keyword; and generate a query dashboard comprising at least a plurality of interaction logs, wherein the plurality of interaction logs comprises at least the specific interaction log and an associated application identifier based on the at least one application and at least a second interaction log associated with at least a second application.