Rule-Based Content Optimization for Display Systems
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Solution Overview
Problem
Existing content optimization systems for electronic displays are labor-intensive due to the need for human input in creating content configurations, as they often require manual placement and arrangement of content elements, leading to a large number of permutations that are difficult to manage effectively.
Innovation Solution
A rule-based content optimization system that generates and optimizes content configurations using a processor to arrange content elements based on predefined rules for permissible relationships, reducing the need for human intervention and automating the content generation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual placement and arrangement of content elements is used, then content creation flexibility is maintained, but labor intensity increases significantly
Solution Approach 1:
The system enables content elements to self-arrange themselves according to predefined rules and relationships, eliminating the need for manual placement. The content generation module automatically assembles content configurations by interpreting rules and organizing elements accordingly, making the system self-sufficient in content creation.
Solution Approach 2:
The patent replaces manual mechanical content arrangement with an automated computational system. The processing unit executes algorithms that automatically generate content configurations based on rules, substituting human manual operations with electronic processing and automation.
2Manufacturing precision
If manual arrangement of content elements is used, then content quality can be controlled, but the number of permutations becomes difficult to manage
Solution Approach 1:
The system segments content creation into discrete rules and relationships that can be independently defined and managed. Each rule governs specific aspects of content arrangement, making the complex permutation space manageable through structured, modular rule definitions rather than dealing with all possible permutations at once.
Solution Approach 2:
The patent uses parameterized rules that can be adjusted and modified to control content generation. By changing rule parameters rather than manually arranging each element, the system maintains quality control while simplifying management of the vast permutation space through mathematical parameter relationships.
3Productivity
If automated content generation is implemented, then labor intensity is reduced, but rules must be precisely defined to maintain content effectiveness
Solution Approach 1:
The system performs preliminary action by pre-defining rules and relationships before content generation occurs. These pre-established rules guide the automated content creation process, ensuring that generated content meets effectiveness criteria without requiring real-time human intervention or extremely precise rule definitions during execution.
Data Source
AI summary
A content optimization system includes a content generation module, a content evaluation module, and a rule management module. The content generation module is adapted to generate a content configuration, wherein the content configuration comprises a plurality of content elements and one or more relationships among the plurality of content elements, wherein the one or more relationships are in accordance with a set of rules on content generation. The content evaluation module is adapted to evaluate content performance of a piece of content assembled from the content configuration. The rule management module is adapted to amend the set of rules based on the evaluated content performance.