Social Queue Ticket Distribution System
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Solution Overview
Problem
Automated ticket purchasing software using APIs gains an unfair advantage over human ticket purchasers due to faster reaction times and higher volume of purchasing attempts, leading to unfair access to event tickets.
Innovation Solution
An event ticket distribution system that utilizes social media identification information to calculate an index value for each potential purchaser, assigning priority flags based on account history, allowing pre-registered users with higher values to receive priority ticket purchase opportunities, thereby reducing the advantage of automated resellers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated software is used for ticket purchasing, then purchasing speed and volume are improved, but fairness of access deteriorates
Solution Approach 1:
The system changes the parameter of access timing by introducing a queue system with different priority levels. Instead of allowing all purchasers to access simultaneously (which favors automated software), the system creates temporal separation through queues with varying access rights, thereby reducing the advantage of high-speed automated purchasing while maintaining overall system productivity
Solution Approach 2:
The queue system acts as an intermediary between ticket purchasers and ticket allocation. This intermediary layer introduces social verification and priority-based filtering that prevents automated software from directly accessing tickets, while still allowing legitimate human purchasers to access tickets through verified channels
2Adaptability or versatility
If API access is provided to multiple users, then system versatility is improved, but security against automated abuse worsens
Solution Approach 1:
The system implements feedback mechanisms through social verification that monitor and evaluate user behavior patterns. The queue system receives feedback from social media verification and adjusts access priorities accordingly, allowing the system to distinguish between legitimate automated access (versatile API use) and abusive automated access (scalping bots), thereby maintaining both versatility and security
3Reliability
If pre-registration is required for priority access, then ticket distribution fairness is improved, but user convenience deteriorates
Solution Approach 1:
The system performs preliminary actions by collecting social media verification data and user preferences in advance during registration. This preliminary action allows the system to pre-calculate priority scores and queue positions, reducing the operational burden on users during actual ticket purchase while maintaining fair distribution through pre-established criteria
Data Source
AI summary
A method for identifying a simulated social media account history is provided. The method may include querying a social media account to obtain social media identification information. The querying may determine whether the account history includes one or more parameters that indicate whether the social media account is related to an automated entity or a human entity. The parameters may include at least one of less than a threshold number of friends on the account; more than a threshold frequency of historic ticket purchases per unit time; disparate location of historic ticket purchases per unit time and/or a historic record of less than a threshold reaction time to a plurality of ticket offers.