AI Web Content Optimization for Terminal Compatibility
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Solution Overview
Problem
Current methods for displaying web content quickly on user terminals are laborious and time-consuming, as they require manual adjustments and do not account for individual user terminal types, leading to potential display issues and prolonged loading times.
Innovation Solution
An automatic fast display control method that uses an artificial intelligence unit to process original data and generate optimized content for each user terminal, selecting the most suitable resources and processing steps based on the terminal's attributes, ensuring rapid and correct display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments are made to optimize web content for each user terminal, then display compatibility improves, but processing time increases
Solution Approach 1:
The system automatically detects user terminal attributes and performs self-optimization of web content without manual intervention. The server autonomously analyzes terminal characteristics and generates optimized content versions, eliminating the need for manual adjustments while maintaining display compatibility across different devices.
Solution Approach 2:
The system changes parameters such as image formats, video codecs, and audio formats based on user terminal capabilities. By dynamically adjusting these parameters according to terminal attributes, the system achieves display compatibility while automating the optimization process to reduce processing time.
2Reliability
If web content is optimized for multiple user terminal types, then display correctness improves, but processing complexity increases
Solution Approach 1:
The system segments web content into multiple versions optimized for different user terminal types. By dividing content into distinct formats and versions, the system ensures display correctness for each terminal type while managing complexity through automated selection rather than manual processing.
Solution Approach 2:
The server acts as an intermediary that automatically detects terminal attributes and selects appropriate content versions. This intermediary function simplifies the process by centralizing the optimization logic on the server side, reducing client-side complexity while maintaining display correctness.
3Productivity
If automated processing is implemented for web content optimization, then processing speed improves, but system complexity increases
Solution Approach 1:
The system replaces manual mechanical processes with automated electronic processing. By using algorithms and automated detection of terminal attributes, the system achieves high processing speed while managing complexity through software-based solutions rather than manual intervention.
Solution Approach 2:
The system implements feedback mechanisms where terminal attributes are detected and used to automatically adjust content optimization parameters. This feedback loop enables automated processing speed improvement while managing system complexity through intelligent, adaptive control rather than rigid complex systems.
Data Source
AI summary
An automatic fast display control method for web content that displays adjusted web content on each user terminal of a user within a period from when a request is transmitted from the user terminal of the user until the web content is ready to accept input on the user terminal of the user. The method includes: a step of a request processing unit of a server detecting a request; a step of an artificial intelligence server devising a strategic plan; a step of generating processed data on the basis of the strategic plan; and a step of displaying web content according to the processed data on a user terminal. The step of devising a strategic plan includes a step of learning an attribute shared by the processed data for displaying the web content more quickly.