Betting Ticket Purchase System with Impact-Based Request Prioritization
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Solution Overview
Problem
Existing betting ticket purchase systems process requests in the order received, leading to a time lag in reflecting significant changes in odds, inconveniencing users by not quickly updating them on changes in odds for purchase requests that impact the odds significantly.
Innovation Solution
A system that prioritizes processing purchase requests based on their impact on odds, processing requests with higher impact first and those with lower impact last, ensuring timely reflection of changes in odds to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If purchase requests are processed in the received order, then processing fairness is maintained, but the time lag in reflecting significant odds changes increases
Solution Approach 1:
The system dynamically adjusts the processing order of purchase requests based on their impact level on odds. Instead of a static first-come-first-served queue, requests are re-ranked in real-time according to calculated impact scores, allowing high-impact requests to be processed earlier regardless of reception timing.
Solution Approach 2:
The system introduces an impact level parameter to characterize purchase requests. By calculating and comparing impact levels (based on bet amount, odds change magnitude, and selection type), the system transforms the processing criterion from temporal order to impact-based priority, resolving the contradiction between speed and fairness.
2Productivity
If high-impact requests are processed first, then odds update timeliness is improved, but system complexity increases
Solution Approach 1:
The system segments purchase requests into different impact levels (first level, second level, etc.) based on predefined criteria. This segmentation allows the system to handle requests in priority groups rather than requiring complex individual evaluation and scheduling for each request, simplifying the overall processing architecture while achieving fast odds updates.
Solution Approach 2:
The system creates a copy of the purchase request queue organized by impact level, separate from the original reception order. This dual-queue approach allows impact-based processing without fundamentally redesigning the request reception and initial storage infrastructure, reducing implementation complexity.
3Measurement precision
If all purchase requests are processed, then complete odds calculation is achieved, but processing time for individual requests increases
Solution Approach 1:
The system processes purchase requests partially in terms of timing - not all requests are processed immediately, but high-impact requests are processed first and foremost. This partial processing approach ensures that the most critical odds changes are reflected quickly, while maintaining overall odds calculation accuracy through subsequent processing of lower-priority requests.
Data Source
AI summary
Provided is a betting ticket purchase system capable of avoiding a time lag between the reception of a purchase request that changes the odds greatly and the reflection of the specifics of the purchase request on a change in the odds . A betting request receiving unit (26) receives a purchase request for a betting ticket. An odds outputting unit (24) outputs odds which are calculated based on specifics of the purchase request. The betting request receiving unit (26) identifies a level of impact of the purchase request on the odds based on the specifics of the purchase request. The betting request receiving unit (26) sets a processing order of the purchase request so that the purchase request is processed before a purchase request that is identified as being smaller in impact on the odds than the purchase request.