Cue Card Content Arrangement System for Automated Service Screens
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Solution Overview
Problem
Current technologies for arranging content on service screens lack efficiency in automating content arrangement and optimization, requiring significant administrative effort and not adapting well to user consumption patterns.
Innovation Solution
A content arrangement method using a computer apparatus that provides a cue card list with editing elements, allowing for automatic content arrangement based on user consumption patterns, ranking data, and administrator inputs, converting content into a common format for display on service areas and dynamically adjusting card positions for maximum user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual content arrangement methods are used, then administrative control over content placement is maintained, but administrative effort and time consumption increase significantly
Solution Approach 1:
The system enables self-service automation where the content arrangement system automatically selects and arranges content sets based on user consumption patterns, ranking data, and keywords without requiring manual administrative intervention. The administrator tool provides automated content arrangement functions that operate independently once configured.
Solution Approach 2:
The system changes the arrangement parameters dynamically based on multiple factors including user consumption patterns, content ranking data, and administrator-defined keywords. This allows the content arrangement to adapt automatically to changing conditions rather than requiring manual reconfiguration.
2Adaptability or versatility
If static content arrangement templates are used, then content organization is simplified, but adaptability to user consumption patterns is reduced
Solution Approach 1:
The content arrangement system transitions from static templates to dynamic arrangement where content sets are automatically selected and positioned based on real-time user consumption patterns, ranking data, and other variable parameters. The system continuously adapts its arrangement strategy based on changing conditions.
Solution Approach 2:
The system incorporates feedback mechanisms by analyzing user consumption patterns and content performance data to continuously optimize content arrangement. The administrator tool uses this feedback information to automatically adjust content placement strategies for improved user engagement.
3Productivity
If content is arranged without automatic editing elements, then administrative control is maintained, but editing effort and time requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-processing and organizing content into content sets based on user consumption patterns and ranking data before administrative review. This preliminary automatic arrangement reduces the time required for final content placement decisions.
Solution Approach 2:
The system replaces manual mechanical content arrangement processes with automated computational algorithms that analyze user behavior data, content performance metrics, and keyword associations to determine optimal content placement automatically.
Data Source
AI summary
Disclosed is a method and system for providing an object for content arrangement. A content arrangement method includes providing a cue card list that is a card-type dedicated object for content arrangement; and arranging a content set in a card unit using a cue card selected from the cue card list.