Dynamic Content Adaptation via Audit Trail Analysis

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Solution Overview

Problem

Existing systems lack the ability to dynamically generate informational content that aligns with the preferences and behaviors of end users, leading to irrelevant and inefficient content delivery.

Innovation Solution

The system captures audit trails of actions performed on publishing servers by client devices, generates analytical data from these trails, and uses this data to dynamically modify informational content in real-time, ensuring it aligns with user preferences.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If static informational content is delivered to users, then system complexity is low, but content relevance to user preferences deteriorates

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by capturing and storing audit trails of user actions before content delivery. This advance data collection enables subsequent dynamic content generation without adding complexity to the real-time delivery process, resolving the contradiction between adaptability and system complexity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system uses user-generated audit trail data to automatically generate personalized content without requiring manual intervention. This self-service approach allows the system to adapt content to user preferences while minimizing the operational complexity required to achieve that adaptability

Inventive Principle:

Principle #25Self-service

2Ease of operation

If generic informational content is published, then ease of manufacture is high, but user experience quality deteriorates

Engineering Contradiction:

Improveuser experienceVSAvoidcontent production complexity

Core Design Contradiction:

Ease of operationVSEase of manufacture

Solution Approach 1:

The system transitions from static generic content to dynamic personalized content by incorporating real-time audit trail analysis. This dynamic approach automatically adapts content based on user behavior patterns, significantly improving user experience while the automated nature of the process keeps production complexity manageable

Inventive Principle:

Principle #15Dynamics

Solution Approach 2:

The system changes content parameters (such as format, detail level, and topic emphasis) based on analysis of user audit trails. This parameter adaptation allows content to be optimized for each user's preferences and behavior patterns, enhancing user experience without requiring complete manual content recreation

Inventive Principle:

Principle #35Parameter changes

3Adaptability or versatility

If manual content customization is performed, then content personalization is high, but productivity deteriorates

Engineering Contradiction:

Improvecontent personalizationVSAvoidcontent delivery efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The system implements automated feedback loops where user actions are captured as audit trails, analyzed to determine preferences, and used to generate personalized content automatically. This closed-loop feedback system achieves high personalization without manual intervention, maintaining productivity by eliminating time-consuming manual customization processes

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The system replaces manual content customization (mechanical process) with automated algorithmic generation based on audit trail analysis. This substitution eliminates the productivity loss associated with manual personalization while achieving equivalent or superior content adaptation through automated processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS12222912B2Systems and methods of generating analytical data based on captured audit trails

Publication Date: 2025.02.11 SDL INC

AI summary

Systems and methods for generating analytical data based on captured audit trails are described. An exemplary method includes generating a natural language preference for the natural language of a document based on an opening action performed by an end user using a client device associated with the end user during a user session; generating a unique transaction key in response to the opening action; correlating subsequent actions relative to the document via the unique transaction key; generating content rich analytical data from an audit trail generated during the user session; obtaining informational content for the end user from informational content stored in a database; translating the obtained informational content; reformatting a native extensible markup language format of the obtained informational content obtained from the database; and providing the translated and formatted informational content to the end user.