Retroactive Webpage Zone Identification via Session Replay
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current manual methods for webpage zone analysis are time-consuming and limited to analyzing current webpage versions, failing to efficiently identify fully-functional webpage versions and lacking the ability to analyze past states, which hampers website improvement efforts.
Innovation Solution
A method and system for collecting past website states through session replays, identifying main states, selecting webpage snapshots, and automatically identifying webpage zones, enabling retroactive analysis and efficient zone identification across multiple webpage versions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual zone identification methods are used, then zone analysis can be performed, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The system performs self-service by automatically identifying webpage zones using machine learning models without requiring manual human intervention. The automated zone identification system analyzes webpage structures, detects functional elements, and generates zone annotations autonomously, eliminating the time-consuming manual labeling process while maintaining accurate zone identification.
Solution Approach 2:
The patent replaces the mechanical manual process of zone identification with an automated computational system. Machine learning algorithms and computer vision techniques substitute human analysts, automatically detecting and classifying webpage zones through pattern recognition and structural analysis, thereby dramatically reducing the time required for zone analysis.
2Adaptability or versatility
If manual zone analysis is performed, then current webpage versions can be analyzed, but past webpage versions cannot be analyzed
Solution Approach 1:
The system performs preliminary action by capturing and archiving webpage snapshots at multiple points in time before analysis is needed. Historical webpage versions are pre-collected and stored in a database, enabling retroactive analysis of past states without requiring access to the actual historical webpages at the time of analysis.
Solution Approach 2:
The patent uses copying by creating digital reproductions of historical webpage versions in the form of snapshots. These copied representations preserve the visual and structural characteristics of past webpage states, allowing analysts to study historical versions without needing to navigate the actual historical websites or recreate them.
3Loss of information
If comprehensive webpage analysis is conducted, then functional understanding improves, but the complexity of the analysis process increases
Solution Approach 1:
The system applies segmentation by dividing the complex webpage analysis task into distinct functional zones and element categories. Each zone type (buttons, links, forms, etc.) is identified and analyzed separately using specialized detection algorithms, breaking down the overall complexity into manageable segments while preserving comprehensive functional information.
Solution Approach 2:
The patent implements universality through a multi-functional analysis system that handles various webpage elements, zones, and interaction types through a unified framework. The same core machine learning infrastructure performs multiple functions including zone detection, element classification, interaction analysis, and functional attribution, reducing system complexity through consolidation.
Data Source
AI summary
A system and method for collection of a website in a past state and retroactive analysis thereof are provided. The method includes collecting, from a repository, at least one session replay; identifying, in the at least one collected session replay, at least one main state, wherein a main state is a portion of a session replay; selecting at least one webpage snapshot corresponding to a respective main state of the at least one identified main state, wherein each snapshot is a single-instant webpage state at a specific point in time; identifying, in the at least selected one snapshot, at least one webpage zone; and returning the at least one identified zone.