AI Webpage Personalization System for Information Overload
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Solution Overview
Problem
Users face challenges in efficiently navigating and filtering relevant information across various websites and applications on mobile devices, as existing systems require learning different interfaces and are overwhelmed by non-interesting content, including advertisements.
Innovation Solution
A personalized webpage system utilizing AI to segment and categorize information into 'of interest' and 'of non-interest' items, providing a consistent format, filtering out non-interesting content, and allowing users to customize preferences such as font size and layout, with dynamic content blocking and AI-driven notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users navigate through multiple different webpage interfaces (e.g., FoxNews.com, CNN.com), then they can access diverse information sources, but they must learn and adapt to different navigation formats and interfaces, consuming time and energy
Solution Approach 1:
The patent creates a universal personalized webpage interface that consolidates multiple information sources (FoxNews.com, CNN.com, etc.) into a single consistent format. The system extracts content from various sources and presents them through a unified interface with consistent navigation, layout options, and interaction patterns, eliminating the need for users to learn different interfaces for each source while maintaining access to diverse information.
2Quantity of substance
If webpage content is comprehensive and includes all articles and advertisements, then information completeness is maintained, but users are overwhelmed by non-interesting content and advertisements, reducing user experience
Solution Approach 1:
The system extracts and separates interesting content from uninteresting content and advertisements. It identifies and removes harmful elements (advertisements, non-interesting articles) from the webpage, presenting only the relevant, interesting content to users. This extraction process maintains the essential information while eliminating the overwhelming and unwanted elements.
Solution Approach 2:
The patent implements feedback mechanisms where user interactions (clicks, reading time, preferences) are continuously monitored and used to refine content filtering. The system learns from user behavior to better identify what content is interesting versus non-interesting, dynamically adjusting the filtering to maintain content completeness while reducing information overload based on actual user needs.
3Stability of the object's composition
If all webpage elements are displayed in original format, then content authenticity is preserved, but users cannot customize the presentation to their preferences, reducing personalization
Solution Approach 1:
The patent introduces dynamic customization options that allow users to adjust webpage presentation parameters such as font size, layout style, and content density. The system maintains the authentic content while dynamically adapting its presentation format based on user preferences. Users can change these parameters without altering the underlying content, achieving both authenticity preservation and presentation adaptability.
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 100% of the payment from the advertisers.