Content Ranking System for Serialized Media
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Solution Overview
Problem
Existing content delivery systems fail to effectively guide users to serialized content on specific days of the week, lacking an intuitive interface for identifying popular content.
Innovation Solution
A method and system that specify contents for serialization on specific days, calculate popularity rankings, and display ranking-boosting information on user terminals to enhance user engagement and content consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If contents are serialized on specific days of the week without additional guidance mechanisms, then the system maintains simplicity, but users cannot effectively identify or access popular serialized content
Solution Approach 1:
The system pre-calculates and stores popularity rankings for contents serialized on specific days of the week. This preliminary action enables users to immediately identify popular content without real-time computation, resolving the contradiction by preparing ranking data in advance while maintaining system simplicity during user interaction.
Solution Approach 2:
The system segments content information by day of the week and applies separate ranking calculations for each day. This segmentation allows the complexity of ranking computations to be distributed across multiple day-specific categories rather than requiring a single complex overall ranking system, making the solution more manageable and effective.
2Loss of information
If the system provides detailed information about all serialized contents, then users have comprehensive information, but the interface becomes cluttered and less intuitive
Solution Approach 1:
The system applies different information display qualities to different content items based on their popularity rankings. High-ranking contents receive prominent display with ranking-boosting information, while lower-ranking contents receive standard information. This local differentiation ensures comprehensive information availability while maintaining interface clarity through selective emphasis.
Solution Approach 2:
The system extracts and highlights only the most relevant information (popularity rankings and ranking-boosting status) from the complete content data. By taking out and displaying only the key distinguishing features rather than all available information, the system maintains interface intuitiveness while preserving access to comprehensive content details when needed.
3Measurement precision
If the system calculates popularity rankings for all serialized contents, then accurate content recommendations are provided, but computational resources and processing time increase
Solution Approach 1:
The system calculates popularity rankings periodically for contents serialized on specific days of the week rather than continuously updating all rankings in real-time. This periodic calculation approach maintains accurate ranking information for each day's serialized content while significantly reducing overall computational burden and processing time compared to continuous updates.
Data Source
AI summary
Methods and systems for providing contents may be provided. A method of providing contents may include specifying contents to be serialized on a specific day of a week, among a plurality of contents each serialized with reference to a day of the week, calculating a popularity ranking for each of the specified contents, selecting, using the popularity ranking, a ranking-boosting content satisfying a ranking condition among the specified contents, and providing, on a user terminal, items corresponding to each of the specified contents, wherein the providing includes displaying ranking-boosting information related to ranking-boosting on an item corresponding to the ranking-boosting content, among the items corresponding to each of the specified contents. Accordingly, information on contents that is serialized with respect to a specific day of the week may be more effectively provided.