Web Clipping Data Aggregation for User Engagement Analysis
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Solution Overview
Problem
Existing systems for collecting user engagement data, such as eye tracking, require specialized components that consume processing resources and network traffic, making them impractical for mobile devices and other platforms with limited resources.
Innovation Solution
A database network system that aggregates web clipping data from users across various platforms, allowing for the analysis of user interactions and preferences, enabling targeted advertising by identifying popular content sections and user demographics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If eye tracking equipment is used to collect user engagement data, then measurement precision is improved, but device complexity and processing resource consumption increase
Solution Approach 1:
The patent uses web clipping data as a copy or proxy representation of user engagement behavior. Instead of directly measuring eye movements with specialized equipment, the system captures and analyzes data about what users view and interact with on web pages, creating an alternative representation that conveys engagement information without requiring complex hardware
Solution Approach 2:
The patent replaces the mechanical/optical eye tracking system with a digital data collection approach. Instead of using physical eye tracking hardware to detect pupil movements, the system uses software-based web clipping technology to capture user interaction data, substituting a mechanical measurement system with a digital information system
2Measurement precision
If eye tracking equipment is deployed at each user system, then measurement precision is improved, but use of energy and processing resources increase
Solution Approach 1:
The system uses web clipping data as a proxy that represents user engagement patterns without requiring energy-intensive eye tracking hardware. The clipping data serves as an alternative representation that can be collected and analyzed to infer engagement information with significantly lower resource consumption
Solution Approach 2:
The patent employs lightweight web clipping data structures that are easy to generate and process, replacing expensive, complex eye tracking equipment. The clipping mechanism creates simple data representations that consume minimal processing resources while still providing valuable engagement insights
3Measurement precision
If specialized eye tracking components are used, then measurement precision is improved, but adaptability to different platforms decreases
Solution Approach 1:
The web clipping system is designed to work universally across different platforms and devices without requiring specialized hardware. The same clipping mechanism can function on desktops, tablets, and mobile devices, making the user engagement measurement approach adaptable to various computing environments
Solution Approach 2:
By using web clipping data as a universal representation of user behavior, the system creates a platform-independent method for measuring engagement. The clipping approach abstracts away device-specific differences and provides a consistent way to capture and analyze user interaction patterns across diverse platforms
4Measurement precision
If eye tracking data is uploaded from user systems, then measurement precision is improved, but network traffic increases
Solution Approach 1:
The patent extracts only the essential engagement information from user interactions through web clipping, rather than transmitting complete eye tracking datasets. By selectively capturing and transmitting only the relevant clipping data, the system reduces network traffic while maintaining the precision needed for engagement analysis
Data Source
AI summary
In an example, a processing system of a database system may be configured to, responsive to receiving a request originating from a member of a web clipping service, insert first data associated with a clip selection of the request into a personalized online space corresponding to the member and retain second data that is different than the first data into an aggregated pool of data associated with a plurality of members of the web clipping service. The processing device may be configured to pair an advertisement of a plurality of advertisements with a resource of a plurality of resources responsive to an analysis of the aggregated pool of data, and store an association between the advertisement of the pair and the resource of the pair in a memory device.