Location-Based Ad Targeting via Dynamic Website Filtering
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Solution Overview
Problem
Current online advertisement methods face challenges such as high costs, difficulty in measuring advertisement effectiveness, and consumer dissatisfaction due to irrelevant ads, with advertisements often being viewed as exaggerated or not utilized effectively beyond temporary promotional purposes.
Innovation Solution
An online advertisement method that uses an advertisement website to provide targeted ads based on the user's current location, offering a local selection menu and displaying ads relevant to the selected area, with features like hashtag-based filtering and dynamic ad duration and size adjustments based on user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If traditional online advertisements are displayed to users, then advertisement reach is improved, but consumer dissatisfaction increases due to irrelevant ads
Solution Approach 1:
The patent applies local quality by tailoring advertisement content to match the specific interests and characteristics of individual users. The system analyzes user profiles, browsing history, and demographic information to deliver locally customized ads that resonate with each user's preferences, thereby reducing consumer dissatisfaction while maintaining broad reach.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting advertisement parameters such as content, timing, and placement based on real-time user behavior data. The system modifies ad parameters including creative elements, messaging, and display location to optimize relevance for each user, transforming the static advertisement approach into a dynamic, user-responsive system.
2Productivity
If advertisements are made more targeted and relevant, then consumer engagement is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service by enabling users to actively participate in shaping their advertisement experience through preference settings and interactions. Users can adjust their own preferences, provide feedback on ad relevance, and control the type of content they receive, which simplifies the system's operation while maintaining high engagement levels.
Solution Approach 2:
The patent leverages feedback mechanisms by continuously monitoring user interactions with advertisements and adjusting the system accordingly. The system analyzes engagement data, click-through rates, and user feedback to refine future ad delivery, creating a self-improving loop that reduces complexity through automated learning and adaptation.
3Reliability
If comprehensive user data is collected for targeted ads, then advertisement effectiveness is improved, but data privacy concerns increase
Solution Approach 1:
The patent applies segmentation by dividing user data into distinct categories and processing segments separately. The system segments data into demographic information, interest profiles, and behavior patterns, analyzing and utilizing each segment independently to maintain effectiveness while enhancing privacy protection through controlled data handling.
Solution Approach 2:
The patent introduces an intermediary layer in the form of a privacy-preserving data processing system that acts as a mediator between data collection and ad delivery. This intermediary anonymizes and aggregates user data before it is used for targeting, ensuring that raw personal information is not directly exposed while still enabling effective advertisement personalization.
4Duration of action of stationary object
If advertisements are displayed for extended periods, then brand exposure is improved, but user attention span is reduced
Solution Approach 1:
The patent implements periodic action by displaying advertisements in controlled intervals rather than continuously. The system uses periodic pulses of ad content that are strategically timed to coincide with user interest moments, maintaining brand exposure while respecting user attention spans through rhythmic, non-intrusive delivery patterns.
Solution Approach 2:
The patent applies dynamics by making advertisement duration and intensity variable rather than fixed. The system dynamically adjusts ad display parameters based on real-time user engagement levels, automatically reducing duration when user attention wanes and increasing it when engagement is high, thereby optimizing the balance between brand exposure and user attention.
Data Source
AI summary
Disclosed is an on-line advertisement method using an advertisement website. An on-line advertisement method according to an embodiment of the present invention provides an advertisement available to a user terminal at a current position of a user terminal which accesses an advertisement website.