Transparent Display Ad Matching via User Article Detection
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Solution Overview
Problem
Existing advertising techniques fail to effectively enhance customer appeal by not considering the interests and hobbies of users, leading to low engagement with advertised products or services.
Innovation Solution
An information display method using a transparent display that obtains information about a user's article and matches it with advertisements related to similar articles owned by other users, displaying these advertisements when the user is shown to be interested, thereby leveraging shared interests and hobbies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional advertising distribution methods are used, then advertising information can be delivered to users, but customer appeal and engagement remain low
Solution Approach 1:
The system performs preliminary actions by detecting user articles in advance and obtaining user information before advertising distribution. This allows the system to pre-match users with relevant advertisements based on their interests, ensuring high customer appeal when advertisements are delivered.
Solution Approach 2:
The system implements feedback mechanisms by continuously monitoring user articles and engagement patterns. This feedback loop enables the system to refine advertisement matching over time, improving customer appeal through data-driven optimization of ad delivery based on actual user behavior.
2Quantity of substance
If generic advertising is distributed to all users, then advertising coverage is maximized, but relevance to individual user interests is lost
Solution Approach 1:
The system applies local quality by tailoring advertisement content to each user's specific interests and preferences. Instead of uniform advertising, the system customizes ad selection based on detected user articles and profile information, ensuring high relevance for each user while maintaining broad coverage through automated matching.
Solution Approach 2:
The system utilizes parameter changes by dynamically adjusting advertisement selection based on user behavior parameters and interest profiles. This allows the system to adapt advertising relevance to individual users while maintaining efficient automated distribution across large user bases.
3Illumination intensity
If transparent display technology is used to show user articles, then visibility and engagement are improved, but additional device complexity is introduced
Solution Approach 1:
The system achieves universality by making the transparent display serve multiple functions: displaying user articles, presenting matched advertisements, and enhancing overall user engagement. This multi-functionality justifies the added device complexity by consolidating multiple display needs into a single versatile component.
Data Source
AI summary
A processor obtains first article information related to a first article which is owned by a first user and which is placed in front of or behind a transparent display, obtains, based on the first article information, an advertisement related to a product or a service which has been used by a second user who owns a second article related to the first article and who is different from the first user, and informs the first user of the advertisement.