Dynamic Advertisement Distribution via Eye Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional advertisement systems on web pages are static and do not account for user interest evolution, failing to dynamically update or re-auction advertisements based on in-session user behavior, such as eye movement, which limits their relevance and effectiveness.
Innovation Solution
An advertisement distribution system that tracks user eye-reactions, calculates scores based on engagement, conducts dynamic auctions between advertisers, and populates empty slots with winning advertisements, ensuring that ads are updated and re-auctioned in real-time as user interests change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static advertisement generation is used, then the system complexity is reduced and implementation is easier, but the advertisement relevance to user interests deteriorates over time
Solution Approach 1:
The patent implements dynamic advertisement generation by continuously monitoring user eye movements and interests throughout the reading session, then updating advertisements in real-time based on evolving user preferences. This transforms static ads into dynamic content that adapts to user behavior changes, resolving the contradiction between simplicity and adaptability.
Solution Approach 2:
The system incorporates feedback loops where eye tracking data is collected, processed, and used to adjust advertisement selection during the reading session. This feedback mechanism enables the system to learn user interests as they evolve and respond accordingly, maintaining high relevance without requiring overly complex preliminary setup.
2Productivity
If conventional one-time auctioning is used, then the auctioning process is simpler and faster, but the advertisement effectiveness deteriorates as user interest evolves
Solution Approach 1:
The patent implements continuous auctioning throughout the reading session rather than a one-time initial auction. The system continuously evaluates user eye movements and interest evolution, triggering repeated auction cycles that keep advertisements optimized for current user preferences, thereby maintaining high effectiveness without significant time loss.
Solution Approach 2:
The system performs periodic auction cycles at intervals during the reading session, triggering re-auctioning based on detected interest changes. This periodic action allows the system to balance continuous optimization with processing efficiency, maintaining advertisement effectiveness while managing computational resources.
3Reliability
If eye-reaction tracking and dynamic re-auctioning are implemented, then user engagement with advertisements improves, but the processing time and computational resources increase
Solution Approach 1:
The system leverages the user's own eye movement behavior as the driving force for advertisement optimization. By using the user's natural reading patterns and eye tracking data, the system self-adjusts advertisements without requiring external intervention or complex manual configuration, improving engagement while keeping the system relatively lightweight.
Solution Approach 2:
The patent dynamically changes key parameters such as advertisement selection criteria and bidding weights based on real-time eye movement analysis. This parameter adjustment allows the system to adapt to evolving user interests efficiently, improving engagement metrics without requiring complete system reconfiguration or excessive computational resources.
Data Source
AI summary
A method, system, and non-transitory computer readable medium for an advertisement distribution system, include calculating an interest for each advertisement of an advertisement group, assigning each advertisement a user engagement value based on the interest, conducting an auction to determine winning advertisements based on advertiser parameters received from a database and the user engagement value of each of the plurality of advertisements, and dynamically populating an unviewed portion of the web page with the advertisement group of the winning advertisements.