Dynamic Site Generation with Evolving Content Criteria

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Solution Overview

Problem

Existing online user experiences often provide static content that fails to cater to individual user preferences, leading to irrelevant and less engaging experiences due to the use of static selection criteria, which may not accurately reflect users' evolving interests.

Innovation Solution

The Content Adjacency Evolving (CAE) system dynamically generates site content by evolving selection criteria based on properties of previously selected content, ensuring content adjacency and variety across customizable elements, thereby providing a non-uniform and relevant user experience.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static selection criteria are used to generate site content, then the system complexity is low and implementation is simple, but the content relevance to user preferences deteriorates and user engagement decreases

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent applies dynamics by transforming static selection criteria into dynamic criteria that evolve based on previously selected content. The selection criteria are no longer fixed but adapt and change as the system generates content, allowing the content to remain relevant throughout the user experience while managing complexity through iterative refinement rather than complete re-generation

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent implements feedback by using properties of previously selected content to modify subsequent selection criteria. The system continuously learns from its own outputs and adjusts its selection process accordingly, creating a closed-loop system that improves content relevance over time without requiring complete system reconfiguration

Inventive Principle:

Principle #23Feedback

2Adaptability or versatility

If the same selection criteria is applied to all customizable elements, then the implementation process is simple and fast, but the content variety and user engagement deteriorate

Engineering Contradiction:

Improvecontent varietyVSAvoidcontent generation efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent makes the selection criteria dynamic by evolving them based on previously selected content properties. This allows the system to generate varied content across different customizable elements while maintaining a systematic approach that does not completely sacrifice generation efficiency

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The patent segments the content generation process into discrete steps where selection criteria are applied and then evolved based on results. This segmentation allows variety to be introduced incrementally across different content elements rather than requiring complete re-generation of all content

Inventive Principle:

Principle #1Segmentation

3Adaptability or versatility

If dynamic criteria evolution is implemented, then content adjacency and relevance are improved, but the computational complexity and processing time increase

Engineering Contradiction:

Improvecontent adjacencyVSAvoidprocessing time

Core Design Contradiction:

Adaptability or versatilityVSLoss of time

Solution Approach 1:

The patent applies partial action by evolving selection criteria incrementally based on only the necessary properties of previously selected content. Rather than re-evaluating all possible content parameters, the system focuses on key properties that drive content adjacency, reducing processing overhead while maintaining relevance

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11972476B2Systems and methods for dynamic site generation with evolving criteria and content adjacency

Publication Date: 2024.04.30 STYLITICS INC

AI summary

Provided is a system for dynamically generating a site with custom content using criteria that evolves based on properties of earlier selected content. The system may receive a request for a site, may define first criteria based on user preference and/or content priority specified for the site, and may populate a first customizable element of the site with first content that satisfies the first criteria. The system may determine a first set of properties of the first content that differ from the user preferences and the content priority, may define second criteria by modifying the first criteria with at least one new criterion that is derived from the first set of properties of the first content, and may populate a second customizable element of the site with different second content that satisfies the at least one new criterion from the second criteria.