Interaction Statistics Graphing for Client Device Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems fail to effectively process and present interaction statistics from logged interactions on information resources in a computer networked environment, making it difficult for users to digest such statistics in a single viewable frame.
Innovation Solution
A computing device calculates interaction statistics and generates a graph or map depicting how client devices interact with one content element before interacting with another, using a clustering algorithm to identify client device segments and a metric calculator to determine interaction sequence metrics, which are then displayed in a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If interaction statistics are processed and presented in detail, then information completeness is improved, but user ability to digest statistics in a single viewable frame deteriorates
Solution Approach 1:
The patent segments interaction statistics by dividing client devices into distinct segments based on their interaction patterns with content elements. Each segment represents a group of devices with similar behavioral characteristics, allowing comprehensive interaction data to be organized into manageable, visually presentable categories that fit within a single viewable frame while retaining complete information about different user behavior types
Solution Approach 2:
The patent transitions from presenting raw interaction data in a two-dimensional space to adding a third dimension through client device segmentation. By organizing statistics along the segmentation dimension (different user groups), the system can display comprehensive interaction patterns across multiple content elements simultaneously without overwhelming the viewable frame area
2Measurement precision
If clustering algorithms are used to identify client device segments, then interaction pattern recognition is improved, but computational complexity increases
Solution Approach 1:
The patent applies partial action by focusing clustering computations only on the most relevant interaction features and time periods rather than processing all possible data dimensions. This selective approach maintains high interaction pattern recognition accuracy while significantly reducing the computational burden on the server system
3Loss of information
If interaction statistics are displayed alongside content elements, then user awareness of interaction data is improved, but interference with content element behavior may occur
Solution Approach 1:
The patent introduces an intermediary presentation layer that displays interaction statistics as visual overlays or side panels separate from the actual content elements. This intermediary approach allows users to view interaction data alongside content without the statistical display mechanisms directly interfering with or modifying the native behavior of content elements, thus maintaining both user awareness and content reliability
Data Source
AI summary
Systems and methods of rendering webpage interaction statistics data over graphical user interfaces is provided herein. A computing device can transmit a request for an interaction statistics identifying an information resource. The computing device can receive the interaction data set for the identified information resource. The computing device can calculate a similarity measure among the client devices based on the interaction data set using a clustering algorithm. The computing device can identity a subset of client devices based on the similarity measure. The computing device can calculate the interaction sequence metrics for the client devices for each selected content element. The computing device can select the content elements based on the calculated interaction sequence metrics. The computing device can generate a graph element including nodes representing each selected content element and paths representing the interaction sequence metrics. The computing device can display the graph element.


