Auto-Redirect Detection for Online Auction Content Eligibility
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In computerized content delivery networks, third-party content items that automatically redirect clients to different resources pose challenges for online auction systems, as they violate policies and cannot be reliably detected for eligibility.
Innovation Solution
A method and system that render a first web page, store its URL, and after a predetermined time, identify any redirection to a second URL, detecting discrepancies to flag content items as ineligible for participation in online auctions, thereby preventing automatic redirections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party content items are allowed to automatically redirect clients, then content delivery flexibility is improved, but system reliability and policy compliance deteriorate
Solution Approach 1:
The system performs preliminary detection of automatic redirection behavior during the content item evaluation process before allowing participation in online auctions. By checking whether a content item automatically redirects the client device before approval, the system prevents unreliable content from entering the auction system, thus maintaining system reliability while still allowing flexible content delivery for approved items.
2Reliability
If automatic redirection detection is implemented, then policy compliance is improved, but device complexity increases
Solution Approach 1:
The system leverages the client device's own browser behavior to detect automatic redirection. By monitoring whether the browser automatically navigates to a different URL after loading the content item, the system uses the device's inherent functionality rather than requiring complex external detection mechanisms. This approach maintains policy compliance while minimizing additional system complexity.
3Measurement precision
If content items are monitored for redirection behavior, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The system monitors browser behavior for a predetermined period after loading the content item, which may be longer than the actual redirect occurs. By using a predetermined monitoring window that exceeds the minimum necessary time, the system ensures accurate detection of redirect behavior without requiring complex real-time analysis, thus achieving measurement precision while managing detection time efficiently.
Data Source
AI summary
Systems and methods for checking for redirection of a content item are provided. A first web page identified by a first uniform resource locator (URL), the first web page comprising a content item. The first URL is stored in a memory element. After a predetermined period of time elapses, a second URL associated with a second web page rendered by the browser is identified. A discrepancy between the first URL and the second URL is detected. Responsive to the discrepancy detection, the content item is identified as ineligible for participation in an online auction system.


