AI-Powered Dynamic Webpage for Information Filtering
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Solution Overview
Problem
Users face challenges in efficiently navigating and filtering relevant information on various websites and applications, as existing systems lack personalized presentation and are overwhelmed by non-interest content, including advertisements, leading to information overload and decreased user experience.
Innovation Solution
A method and apparatus that utilizes an AI algorithm to segment and categorize information into 'of interest' and 'of non-interest' items, providing a personalized webpage with dynamic content blocking and customizable features, such as font settings and layout, to present only relevant information in a consistent format, while using passive and active feedback to improve classification accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional webpages present all available content, then information completeness is improved, but information overload and user stress increase
Solution Approach 1:
The patent segments webpage content into discrete items and uses AI algorithms to categorize them as 'of interest' or 'of non-interest' to the user. This segmentation allows the system to selectively filter content, presenting only relevant information while maintaining completeness of important data.
Solution Approach 2:
The patent extracts and removes non-interest content (such as advertisements and irrelevant articles) from the webpage presentation. By taking out harmful or unnecessary elements, the system reduces information overload while preserving essential information.
2Adaptability or versatility
If multiple different webpages are navigated, then information variety is improved, but navigation complexity and time consumption increase
Solution Approach 1:
The patent creates a universal personalized webpage interface that can aggregate and present content from multiple different sources (FoxNews.com, CNN.com, etc.) in a consistent format. This multi-functional approach allows users to access diverse information variety through a single unified interface, eliminating the need to learn multiple navigation systems.
Solution Approach 2:
The patent applies local quality by customizing the presentation format according to user preferences (font size, layout, background) while maintaining consistent navigation patterns. This allows the interface to adapt to individual user needs without sacrificing navigation efficiency.
3Ease of operation
If AI filtering is applied to remove non-interest content, then user experience is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by using passive feedback (user behavior tracking) and active feedback (explicit user preferences) to automatically train and improve the AI algorithm over time. The system serves itself by learning from user interactions, reducing the need for manual configuration and complex intervention.
Solution Approach 2:
The patent incorporates feedback mechanisms where user interactions with filtered content are used to retrain and improve the AI classification algorithm. This continuous feedback loop allows the system to adapt and improve filtering accuracy without increasing operational complexity for the user.
Data Source
AI summary
A method and apparatus comprising generating a dynamic personalized webpage is disclosed. At least two webpages are loaded in a fashion that is hidden from the user. Content from the at least two webpages is extracted based on classification “of interest” by an artificial intelligence algorithm. A dynamic personalized webpage comprising extracted content is then generated and displayed to the user. In the preferred embodiment, the user's dynamic personalized webpage will be filled with advertisements tailored to the user and the user would receive at least some revenue from advertisements.