Personalized AI Container for Web Interaction Optimization
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Solution Overview
Problem
Conventional artificial intelligence systems and commercial platforms lack integration of personalized end-user knowledge, resulting in generalized responses and recommendations that do not account for individual preferences, interests, and context.
Innovation Solution
The Personalized Big Data and Artificial Intelligence Container (pAI) platform leverages personal big data and advanced AI algorithms to preserve, optimize, and process personal knowledge, enabling tailored and personalized interactions with the web and other AI systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional AI systems use generalized algorithms without personal data integration, then system simplicity and ease of operation are maintained, but the quality and personalization of responses deteriorates
Solution Approach 1:
The patent introduces a personalized AI container as an intermediary layer between users and conventional AI systems. This container stores personal knowledge graphs and mediates interactions by filtering and transforming generic AI responses through personalization algorithms, thus maintaining system simplicity while improving response quality through the intermediary personalization layer
Solution Approach 2:
The system changes the operational parameters of AI responses by dynamically adjusting them based on personal knowledge graphs. Instead of using fixed general responses, the system modifies response parameters (tone, content focus, detail level) according to stored user preferences and context, thereby improving quality without complicating the core AI system
2Manufacturing precision
If AI systems process personal big data through complex algorithms, then personalization quality improves, but device complexity and data processing requirements worsen
Solution Approach 1:
The patent segments the complex AI personalization system into distinct modular components: a personal knowledge graph storage module, a data processing module, and a response generation module. Each component handles specific tasks independently, reducing overall system complexity while maintaining high personalization quality through coordinated operation of these segmented functions
Solution Approach 2:
The system creates a simplified copy of user preferences and knowledge in the form of a personal knowledge graph. This copy serves as a condensed representation that can be processed efficiently by AI algorithms without requiring direct analysis of raw personal data, thus reducing computational complexity while maintaining personalization accuracy
3Reliability
If conventional platforms do not integrate personal knowledge, then data privacy and security remain simpler, but loss of information about user preferences occurs
Solution Approach 1:
The patent extracts and stores only the essential personal knowledge and preferences in a dedicated knowledge graph, separating this information from the main AI processing stream. By taking out only the necessary personal data elements rather than processing all raw data, the system maintains security while preserving critical user information for personalized responses
Data Source
AI summary
The present invention discloses a Personalized Big Data and Artificial Intelligence Container (pAI), which is a revolutionary platform that integrates personal big data and AI algorithms to enhance individuals' web experiences. The pAI platform employs advanced machine learning algorithms, neural networks, and natural language processing techniques to preserve and process personal data, enabling customized and tailored interactions with external systems. By analyzing target systems and providing essential personal information, the pAI platform optimizes and fine-tunes interactions, resulting in highly personalized and effective outcomes for users. This patent application provides a comprehensive disclosure of the pAI platform's functionalities, components, and potential applications.