Dynamic In-Train Ad Selection via Attribute Tag Matching
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Solution Overview
Problem
Existing in-train information distribution and display systems struggle to dynamically select display contents based on train information, leading to difficulties in achieving higher advertising effectiveness and flexibility in responding to various advertising needs.
Innovation Solution
An in-train information distribution and display system that includes a ground content-distribution server associating advertising content data with time slots and attribute tags, which are compared with train information to create a dynamic program listing for optimal content allocation and display on video terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If display contents are determined only based on video data information, then the system is simple to operate, but advertising effectiveness is low due to inability to consider train information
Solution Approach 1:
The system segments the content selection process into multiple independent modules: video data analysis module, train information acquisition module, attribute tag matching module, and content determination module. This segmentation allows each module to handle specific tasks independently, improving advertising effectiveness through comprehensive data processing while keeping the overall system manageable through clear functional division.
Solution Approach 2:
The system performs preliminary actions by pre-processing video data to extract passenger information and pre-acquiring train information before content selection. Attribute tags are pre-defined for different advertising contents, enabling efficient matching and selection processes that enhance advertising effectiveness without adding operational complexity during real-time execution.
2Adaptability or versatility
If video information is previously determined for each section, then program listing creation is simplified, but flexibility to select video information with higher advertising effectiveness is reduced
Solution Approach 1:
The system implements dynamic content selection by continuously comparing attribute tags of advertising contents with actual train information and video data. The program listing is not fixed in advance but dynamically adjusted based on real-time matching results, enabling flexible selection of video information with higher advertising effectiveness while maintaining automated generation through systematic comparison processes.
Solution Approach 2:
The system changes the selection parameters from static pre-determined video information to dynamic attribute tag matching based on train information. By introducing variable parameters such as passenger demographics, train location, and time of day into the selection criteria, the system achieves flexibility in content selection while maintaining ease of program listing creation through automated parameter-based filtering.
3Reliability
If comprehensive train information is used for content selection, then advertising effectiveness is improved, but the complexity of information processing increases
Solution Approach 1:
The system introduces an intermediary mechanism in the form of attribute tags that mediate between comprehensive train information and advertising content selection. Attribute tags serve as standardized intermediaries that simplify the comparison process by translating diverse train information into comparable categories, thereby improving advertising effectiveness through comprehensive data utilization while reducing processing complexity through standardized matching criteria.
Data Source
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AI summary
To provide an in-train information distribution and display system and an in-train information distribution and display method that enable to dynamically select display contents having higher advertising effectiveness according to train information and to display the selected display contents. A first program listing having time slots set therein and a plurality of advertising content data associated with each of the time slots of the first program listing as candidates of a program material are prepared in a ground content-distribution server 12. An on-board central-distribution server 1 determines the program material by selecting one of the plural advertising content data associated with each of the time slots of the first program listing based on train information and passenger information obtained from a train-information central unit 2. A program listing having program materials determined is referred to as a second program listing. Video terminals 6 image advertising content data allocated to the respective time slots according to the second program listing and display the advertising content data as advertising information on displays 7L.