AI-Personalized Webpage for Information Overload Reduction
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Solution Overview
Problem
Users face challenges in 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 inefficient use of time.
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
1Quantity of substance
If a webpage presents comprehensive information from multiple sources, then the quantity of information increases, but the user experiences information overload and difficulty in navigating relevant content
Solution Approach 1:
The patent segments information from multiple webpages into discrete, categorizable items that can be individually processed and presented. The AI algorithm divides comprehensive information into manageable units, allowing selective presentation based on user interest without overwhelming the user interface
Solution Approach 2:
The system extracts only the relevant items of interest from comprehensive webpages while leaving the original pages unchanged. This extraction process removes non-essential content, presenting only curated information to users, thereby reducing navigation complexity while maintaining information quantity
2Quantity of substance
If a webpage displays all available content including advertisements, then the completeness of information is improved, but the user experience deteriorates due to unwanted content and information overload
Solution Approach 1:
The system extracts and separates items of interest from unwanted content such as advertisements and non-relevant articles. By pulling out only the valuable information elements, the system maintains completeness of useful information while eliminating harmful factors that degrade user experience
Solution Approach 2:
The patent converts the problem of information overload and unwanted content into a benefit by using AI algorithms to automatically identify and filter relevant information. The excessive content that initially causes harm is transformed into a training dataset that enables the system to better identify and present only valuable information
3Quantity of substance
If multiple webpages are navigated individually, then access to comprehensive information is achieved, but the time and energy required for navigation increases
Solution Approach 1:
The system merges multiple webpages into a single personalized presentation that consolidates information from various sources. By combining content from multiple pages into one curated interface, users gain access to comprehensive information without the need to navigate through each original page separately, significantly reducing navigation time
Solution Approach 2:
The system performs preliminary actions by pre-processing and categorizing information from multiple webpages before user interaction. The AI algorithm anticipates user needs by pre-identifying and organizing relevant content, so when users access the personalized webpage, the information is already prepared and presented in an optimized format, eliminating the need for time-consuming navigation
4Measurement precision
If a personalized webpage filters content based on user interest, then the relevance of information is improved, but the complexity of the system increases due to AI algorithms and feedback mechanisms
Solution Approach 1:
The system implements self-service through automated AI algorithms that independently perform content analysis, categorization, and filtering without requiring manual user configuration. The feedback mechanisms automatically learn from user interactions and adjust content presentation accordingly, reducing the need for complex manual setup while maintaining high relevance through autonomous optimization
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.