Content Transformation Module for Automated Performance Optimization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Current systems lack an efficient method for automatically transforming content items based on user preferences and activity data to enhance their performance metrics and audience engagement, particularly in online advertising and social media platforms.

Innovation Solution

A system that includes a content item harvesting module, performance metric ranking engine, matching criterion manager, recommendation module, and content transformation module to select and apply transformations to content items, improving their performance metrics and audience engagement by analyzing and adapting to user preferences and activity data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual content transformation is used, then customization quality is high, but productivity is low

Engineering Contradiction:

Improvecontent transformation efficiencyVSAvoidtransformation system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system enables content items to automatically transform themselves based on harvested performance data and matching criteria, without requiring manual intervention for each transformation decision, thereby improving productivity while managing complexity through automation

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system harvests performance metrics from published content items and uses this feedback to automatically determine future transformations, creating a closed-loop system that continuously optimizes content based on real-world performance data

Inventive Principle:

Principle #23Feedback

2Productivity

If automated transformation is implemented, then productivity is high, but measurement precision is low

Engineering Contradiction:

Improvecontent transformation efficiencyVSAvoidperformance metric accuracy

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system replaces manual evaluation of content performance with automated computational analysis of performance metrics, using algorithms to objectively measure and compare content effectiveness across multiple dimensions without human bias or error

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Adaptability or versatility

If content transformation is applied, then audience engagement is improved, but loss of information occurs

Engineering Contradiction:

Improvecontent adaptability to audienceVSAvoidoriginal content integrity

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system applies transformations locally to specific aspects of content items based on matching criteria and harvested performance data, modifying only the necessary elements to improve audience engagement while preserving the core message and integrity of the original content

Inventive Principle:

Principle #3Local quality

Data Source

PatentUS10380650B2Systems and methods for automating content design transformations based on user preference and activity data

Publication Date: 2019.08.13 VIZIT LABS INC

AI summary

A method includes determining a plurality of harvest content items. The harvest content items are ranked based on a performance metric. Matching criterion aspects of the harvest content items are determined. Aspects of a candidate content item are compared with the plurality of harvest content items according to the matching criterion aspects. A subset of the harvest content items that are similar to the candidate content item is determined. A transformation for the candidate content item is selected and applied to the candidate content item to generate a transformed content item.