Ad Interaction Recovery via Input Location Detection
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Solution Overview
Problem
Users often miss interactions with display advertisements due to timing issues, causing clicks to be misinterpreted as occurring within the website content instead of the advertisement context, leading to lost opportunities and income for advertisers.
Innovation Solution
A computer-implemented method that detects user input in the location where a previously displayed advertisement or item frame was shown, allowing for its re-display or navigation to the intended location, using a learning agent to determine appropriate actions based on user behavior and timing thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the advertisement display duration is shortened to maintain user attention, then user engagement with other content improves, but the probability of missed clicks increases
Solution Approach 1:
The system performs preliminary action by detecting user input in the advertisement area before the ad is removed, then proactively re-displaying the ad or forwarding the user to the intended location. This anticipates the missed click scenario and corrects it before the user loses interest or navigates away.
Solution Approach 2:
The system implements feedback by monitoring user input in the advertisement area and using a learning agent to analyze user behavior patterns. This feedback loop enables the system to adaptively adjust ad display timing and detect missed interactions, improving both engagement and reliability over time.
2Reliability
If the advertisement remains on screen longer to ensure user interaction, then ad click probability increases, but user attention to other content decreases
Solution Approach 1:
The system applies dynamics by making the ad display duration adaptive rather than fixed. The learning agent dynamically adjusts display timing based on detected user behavior patterns, optimizing the balance between ensuring interaction opportunities and maintaining user engagement with other content.
Solution Approach 2:
The system removes the ad at the optimal time based on predicted user behavior, then uses preliminary detection of user input in the ad area to trigger re-display or navigation assistance. This preliminary action ensures the ad is available when the user intends to click, without requiring extended display time.
3Loss of energy
If the system detects and recovers missed clicks by re-displaying the advertisement, then lost advertising opportunities are recovered, but system complexity increases
Solution Approach 1:
The system introduces an intermediary learning agent that mediates between raw user input detection and complex recovery actions. This intermediary analyzes user behavior patterns and determines the appropriate recovery action (re-display, navigation, or ignore), managing system complexity while maximizing revenue recovery.
Solution Approach 2:
The system changes parameters by using the learning agent to adaptively adjust detection time periods and action selection based on user behavior patterns. This parameter adaptation enables effective missed click recovery without requiring complex hard-coded rules for every possible scenario.
Data Source
AI summary
Embodiments of the present invention may provide techniques by which missed interactions with display advertising may be reduced or recovered. For example, in an embodiment of the present invention, a computer-implemented method for processing computer input may comprise displaying on a display screen at least one background application and a foreground item frame, removing display of the foreground item frame, and after removing display of the foreground item frame, detecting user input in the location where the foreground item frame was displayed.