Custom Content Repositories for AI-Personalized Website Objects

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Integrating custom content repositories within website building systems is computationally complex and unpredictable, requiring innovative solutions to streamline the process and enhance personalization of content objects.

Innovation Solution

A system and method that utilizes a content object selection interface, trained customization models, and AI/ML to transform candidate content objects into custom contextualized content objects, which are added to a custom content object repository, enabling personalized and branded product visualization without physical customization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If custom content repositories are integrated within website building systems using traditional methods, then content customization capability is improved, but computational complexity and resource requirements increase significantly

Engineering Contradiction:

Improvecontent customization capabilityVSAvoidcomputational complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent uses digital image copying and manipulation techniques to create contextualized content objects. Instead of complex physical customization, the system copies existing product images and digitally overlays branding elements, logos, and contextual backgrounds to generate personalized content objects, significantly reducing computational requirements while maintaining high adaptability

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces traditional mechanical/content-heavy customization processes with AI/ML-based automated systems. Machine learning models automatically select, transform, and contextualize content objects based on user preferences and website context, substituting complex manual or computationally intensive processes with intelligent algorithms that require fewer resources

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If traditional content repository integration methods are used, then content personalization is improved, but resource requirements and processing time increase

Engineering Contradiction:

Improvecontent personalizationVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent implements preliminary action by pre-processing and pre-categorizing content objects in the repository with metadata tags and contextual attributes. When a user needs personalized content, the system quickly retrieves and assembles pre-prepared content objects rather than creating them from scratch, significantly reducing processing time while maintaining personalization quality

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The AI/ML system performs self-service by automatically selecting, transforming, and contextualizing content objects without requiring extensive manual intervention or complex processing. The system autonomously optimizes content personalization based on user interactions and website context, reducing both processing time and resource requirements

Inventive Principle:

Principle #25Self-service

3Manufacturing precision

If custom content objects are created through physical customization, then branding accuracy is improved, but manufacturing complexity and cost increase

Engineering Contradiction:

Improvebranding accuracyVSAvoidmanufacturing complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent uses digital copying and overlay techniques to apply branding elements to product images. Instead of physically customizing products, the system creates accurate digital representations with logos, branding colors, and contextual elements overlaid on product images, achieving high branding accuracy without physical manufacturing complexity

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces physical manufacturing and customization processes with digital image processing and AI-generated contextualization. Branding is applied through digital overlays and transformations rather than physical modification, eliminating manufacturing complexity while maintaining or improving branding accuracy through precise digital control

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12541284B2System and method for integrating custom content object repositories within a website building system

Publication Date: 2026.02.03 WIX COM

AI summary

Embodiments provide for integrating custom content object repositories within a website building system. In some embodiments, a content object selection interface is generated comprising a plurality of candidate content objects selected based at least in part on a website identifier and one or more website editing historical interactions. The content object selection interface is rendered via a first computing device associated with an editing user identifier. Using a trained customization model and based at least in part on the editing user identifier, one or more selected candidate content objects are transformed into a custom contextualized content object. The custom contextualized content objects are added to a custom content object repository associated with the website identifier.