Content Evaluation Server Matching Evaluator Tags to Content
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Solution Overview
Problem
Current audition evaluation systems lack objectivity due to reliance on arbitrary special judging panels and fail to effectively utilize public evaluators based on their interests and specialties, leading to inefficient and costly content evaluation processes.
Innovation Solution
A content evaluation method using a server that receives and stores content and evaluator tags, allowing for the selection of evaluators based on their level matching the content's requirements, ensuring evaluations are performed by suitable evaluators, and adjusting evaluator participation to enhance objectivity and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If special judging panels are used for audition evaluation, then evaluation expertise is improved, but evaluation objectivity deteriorates due to arbitrary selection criteria
Solution Approach 1:
The system enables ordinary netizens to self-register as evaluators and participate in content evaluation without requiring special judging panels. Evaluators evaluate contents within their interested categories, making the evaluation system self-sufficient with a large pool of voluntary participants who provide both expertise and objectivity
Solution Approach 2:
The evaluation system serves multiple functions: it collects evaluations from diverse netizens across different categories, aggregates results automatically, and determines content selection based on cumulative evaluation values. This multi-functional approach replaces the single-function special judging panel system
2Quantity of substance
If netizens evaluate contents in all categories without considering their interests, then evaluation coverage is improved, but evaluation quality deteriorates due to lack of specialty knowledge
Solution Approach 1:
The system assigns evaluators to specific content categories based on their declared interests and specialties. Each evaluator primarily evaluates contents within their designated category where they possess local expertise, ensuring high evaluation quality while maintaining broad coverage through the collective expertise of many evaluators
3Measurement precision
If TV audition programs produce new content for each evaluation stage, then evaluation accuracy is improved, but time and cost increase significantly
Solution Approach 1:
The system performs preliminary evaluation of audition contents by netizens before professional evaluators review them. This preliminary filtering action identifies promising candidates early, allowing professional evaluators to focus only on selected contents in subsequent stages, thereby reducing overall time and resource consumption while maintaining evaluation accuracy
Solution Approach 2:
The evaluation process is segmented into multiple stages with different evaluator types: first-stage evaluation by netizens based on interest categories, followed by second-stage evaluation by professional evaluators. This segmentation allows each stage to perform its specific function efficiently, reducing total evaluation time while preserving accuracy through progressive filtering
Data Source
AI summary
The present invention relates to a content evaluation method and a content evaluation server in a network environment. The present invention compares a content tag of an applicant with an evaluator tag for evaluating contents such that contents may be evaluated by an evaluator in accordance with the content tag, ensuring a more reliable evaluation through content evaluation by suitable evaluators.