Event Data Consolidation via Session Identifiers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in finding relevant content due to the vast amount of available data, and content providers struggle to accurately track usage patterns across networked applications and Web services.
Innovation Solution
A system that consolidates event data from networked applications and Web services using session identifiers, merging data from different sources into a common format for analysis, while ensuring user consent and maintaining data privacy through secure and unsecure communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If event data is tracked from multiple separate sources (networked applications and Web services), then the quantity of available data increases, but the difficulty of accurately tracking usage patterns increases due to data format inconsistencies and distribution across multiple collection systems
Solution Approach 1:
The patent merges event data from networked applications and Web services into a single consolidated storage system. The consolidation service receives event data from multiple collection systems, converts different data formats into a common format using session identifiers for correlation, and stores unified event data in a centralized location, thereby reducing system complexity while maintaining data quantity
Solution Approach 2:
The consolidation service acts as an intermediary between multiple event data collection systems and the final storage/analysis system. It receives event data from different sources in various formats, processes and standardizes the data, then provides unified access to consolidated event data, eliminating the need for multiple separate tracking systems
2Measurement precision
If event data is consolidated from different sources into a common format, then measurement precision of usage patterns improves, but the device complexity increases due to format conversion and data merging processes
Solution Approach 1:
The consolidation service changes the format parameter of event data from multiple different formats into a single common format. It uses session identifiers to correlate events across sources and transforms the data structure, encoding format, and other parameters to achieve uniformity, thereby improving measurement precision while managing complexity through systematic parameter transformation
3Adaptability or versatility
If multiple event data collection systems are used for networked applications and Web services, then the versatility of data collection increases, but the difficulty of detecting and measuring usage patterns increases due to distributed data storage
Solution Approach 1:
The system segments the data collection function into specialized collection systems for different sources (networked applications and Web services), allowing each to optimize for its specific data type. The consolidation service then integrates these segmented data streams using session identifiers, maintaining versatility while enabling unified detection and measurement of usage patterns
Data Source
AI summary
Networked application event data associated with a session of a networked application is identified and provided to an event data collection system in one format. Web service event data associated with an event of a Web service and also associated with the session is also identified and provided to another event data collection system in another format. The networked application event data and the Web service event data associated with the session identifier are merged into a consolidated storage of event data in a common format.