Dynamic Auction Pricing for Trending Content
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Solution Overview
Problem
Existing content buying and selling platforms face challenges in attracting bidders for audio or video data, as simply listing the content may not generate interest, leading to difficulties in selling the content.
Innovation Solution
A content buying and selling device and method that includes a registration unit, a database, a trend determination unit, and an auction process unit. The trend determination unit assesses whether the content or related items are trends based on search frequency data, and the auction process unit sets appropriate auction starting prices and periods based on trend determination results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If content is simply listed on an auction site, then the listing process is simple and quick, but the desire to purchase the content does not increase and no bidders appear
Solution Approach 1:
The system performs preliminary actions by automatically determining trends and setting appropriate auction starting prices before the auction begins. The trend determination unit analyzes search frequency data in advance, and the auction process unit pre-calculates optimal starting prices based on whether the content is a current trend or has become a trend recently, ensuring attractive auction conditions are ready before potential bidders arrive
Solution Approach 2:
The system changes the auction starting price parameter based on trend analysis results. When content is determined to be a current trend, a lower starting price is set to attract more bidders. When content has become a trend recently, a higher starting price is set to capture the momentum. This dynamic parameter adjustment resolves the contradiction between simple listing and effective sales
2Productivity
If trend determination and dynamic pricing are implemented, then content sale efficiency increases, but the system complexity increases
Solution Approach 1:
The system performs self-service by automatically determining trends using search frequency data from external sources and autonomously setting auction starting prices based on trend status. The trend determination unit and auction process unit work together without manual intervention, allowing the system to handle complex trend analysis and pricing decisions independently while maintaining operational simplicity for users
Solution Approach 2:
The system uses feedback from external search frequency data to dynamically adjust auction parameters. The trend determination unit continuously monitors search trends and provides feedback to the auction process unit, which adjusts starting prices accordingly. This feedback mechanism enables the system to adapt to market conditions automatically, improving sales efficiency without requiring complex manual configuration
Data Source
AI summary
A trend determination unit determines whether the content registered in a registration unit or an item related to the content is a trend, and determines whether the content or the item related to the content has become a trend in a short period of time that is a predetermined time when determining that the content or the item related to the content is a trend. An auction process unit sets a first auction starting price when the content or the item related to the content is a trend and has not become a trend in a short period of time. An auction process unit sets a second auction starting price higher than the first auction starting price when the content or the item related to the content is a trend and has become a trend in a short period of time, and puts the content up for auction.