Scroll Pattern Recognition for Dynamic Content Selection
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Solution Overview
Problem
Content publishers face challenges in effectively tracking and managing user engagement with digital content, as existing methods rely on limited metrics like page views and time spent, offering little control over user disengagement, particularly due to advertisements, and lack real-time interaction data analysis.
Innovation Solution
A system and method for selecting and serving content based on scroll pattern recognition, which analyzes user interaction data, including scroll data, to determine actionable events and customize content delivery, such as displaying search interfaces, advertisements, or engaging content based on user engagement levels and preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If basic metrics like page views and time spent are used to estimate user engagement, then implementation is simple, but the precision of engagement measurement is insufficient
Solution Approach 1:
The patent replaces traditional mechanical tracking methods (page views, time spent) with a more sophisticated system that captures digital interaction data (scroll position, click patterns, hover behavior). This substitution enables more precise engagement measurement while managing complexity through automated data collection and analysis algorithms.
Solution Approach 2:
The patent introduces an intermediary layer (engagement analysis system) that processes raw interaction data and translates it into meaningful engagement metrics. This intermediary handles the complexity of data processing internally, providing precise measurements to publishers without requiring them to manage the underlying system complexity.
2Productivity
If targeted advertising is used to increase advertisement effectiveness, then advertising revenue increases, but user disengagement risk increases
Solution Approach 1:
The patent implements a feedback mechanism that continuously monitors user engagement metrics and adjusts advertising delivery in real-time. When disengagement signals are detected (such as rapid scrolling or time spent below threshold), the system automatically reduces or pauses ad delivery, thereby maintaining advertising effectiveness while protecting user engagement reliability.
Solution Approach 2:
The patent makes the advertising system dynamic by allowing real-time adjustment of ad delivery based on user behavior. Instead of static ad placement, the system dynamically modifies advertising parameters (frequency, timing, content) according to measured engagement levels, resolving the contradiction between ad effectiveness and user retention.
3Adaptability or versatility
If real-time interaction data analysis is implemented to control user engagement, then engagement management capability improves, but system complexity increases
Solution Approach 1:
The patent enables the system to serve itself by implementing automated data collection, analysis, and decision-making algorithms. The engagement analysis system autonomously processes interaction data and adjusts content delivery without requiring manual intervention, thereby improving engagement control capability while managing complexity through automation rather than human management.
Data Source
AI summary
A method and apparatus for scroll pattern recognition is provided. First content is provided to an application with a scrolling interface and a display window. The application is configured to display a portion of the first content to a user based on a current display position, where the scrolling interface is configured to change the current display position based on input from the user. User interaction data that includes scroll data is obtained. The occurrence of an actionable event based on the user interaction data is determined. Second content is provided to the application based on the actionable event.