Dynamic Web Personalization With Real-Time Generative UI

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Solution Overview

Problem

Current web personalization systems lack the ability to dynamically generate and adjust user interface components in real-time based on user preferences, behaviors, and immediate feedback, leading to suboptimal user experiences and reduced engagement.

Innovation Solution

An AI-driven, real-time adaptive framework that utilizes large language models and continuous A/B testing to generate and modify UI components in response to user interactions, integrating real-time data analytics for seamless content and UI adjustments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If static content adjustment based on user demographics or past interactions is used, then implementation simplicity is maintained, but user experience personalization and engagement are limited

Engineering Contradiction:

Improveimplementation simplicityVSAvoiduser experience personalization

Core Design Contradiction:

Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system transitions from static content adjustment to dynamic UI component generation by using LLMs to create personalized interface elements in real-time based on user behavior, preferences, and contextual data, enabling continuous adaptation without manual intervention

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system enables self-service personalization by automatically generating and adjusting UI components based on user interactions and feedback, eliminating the need for manual content management while delivering highly personalized experiences

Inventive Principle:

Principle #25Self-service

2Stability of the object's composition

If pre-defined A/B testing schedules are used, then testing structure is maintained, but real-time responsiveness to user feedback is delayed

Engineering Contradiction:

Improvetesting structureVSAvoidreal-time responsiveness

Core Design Contradiction:

Stability of the object's compositionVSSpeed

Solution Approach 1:

The system performs preliminary actions by continuously running A/B tests and collecting user feedback in real-time, allowing immediate detection of user preferences and rapid iteration of UI components without waiting for scheduled test conclusions

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system implements continuous feedback loops where user interactions with UI components are immediately captured, analyzed, and used to generate real-time adjustments and iterations, enabling rapid optimization based on actual user behavior

Inventive Principle:

Principle #23Feedback

3Ease of manufacture

If content generation and UI design are handled separately, then system modularity is maintained, but integration efficiency and user experience consistency are reduced

Engineering Contradiction:

Improvesystem modularityVSAvoidintegration efficiency

Core Design Contradiction:

Ease of manufactureVSProductivity

Solution Approach 1:

The system merges content generation and UI design into a unified LLM-driven process where the same model generates both the content and the interface components that present it, ensuring seamless integration and consistent user experience across all elements

Inventive Principle:

Principle #5Merging (Combining)

Data Source

PatentUS20260017857A1System and Method For Dynamic Web Content Generation

Publication Date: 2026.01.15 NURD LLC

AI summary

There is provided a system and methods for dynamic web personalization using artificial intelligence (AI) and generative UI components. The architecture integrates various modules and interfaces to enhance user interaction and content relevance on web platforms. The components include: input interface; AI mode; content management and generation; feedback loop; content management system and integration; and query and response flow.