Automated Event Scheduling via Performer Popularity Scoring
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Solution Overview
Problem
Scheduling multiple performers for events is often done on an ad hoc basis, making it challenging to determine optimal time slots, especially when performers have similar popularity levels, leading to inefficient event planning.
Innovation Solution
A system that includes a processor and a ticket portal to track ticket requests with indicators for each performer, assigning scores based on these requests, and ranking performers to allocate time slots based on their popularity, allowing for automated and data-driven scheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ad hoc scheduling by event organizer is used, then scheduling flexibility is maintained, but scheduling efficiency and optimality deteriorate
Solution Approach 1:
The system enables self-service scheduling where the automated scheduler independently processes ticket requests, calculates performer scores, and assigns time slots without requiring manual intervention from event organizers, thereby improving scheduling efficiency while maintaining operational simplicity
Solution Approach 2:
The patent replaces manual mechanical scheduling processes with an automated computer-based system that uses algorithms to process ticket requests and assign time slots, eliminating the need for ad hoc manual coordination while maintaining system manageability
2Measurement precision
If manual scheduling is used, then system complexity is kept low, but ability to determine optimal time slots deteriorates
Solution Approach 1:
The system continuously monitors ticket requests and uses this feedback to dynamically calculate and update performer scores, enabling accurate determination of optimal time slots based on real-time audience demand while maintaining relatively simple system architecture
Solution Approach 2:
Manual time slot determination is replaced with automated computational algorithms that process ticket request data and assign optimal time slots, improving accuracy without requiring complex manual coordination mechanisms
3Productivity
If performers with similar popularity are scheduled, then scheduling fairness is maintained, but audience engagement deteriorates
Solution Approach 1:
The system uses feedback from ticket request indicators to continuously update performer popularity scores, ensuring that time slot assignments reflect actual audience demand and maintain high engagement while fairly representing all performers based on their demonstrated popularity
Solution Approach 2:
The patent changes the scheduling parameter from static fairness criteria to dynamic popularity-based scoring, allowing the system to adapt time slot assignments to actual audience preferences while maintaining equitable representation through data-driven decision making
Data Source
AI summary
Systems and methods are provided for assigned a plurality of timeslots for an event to a plurality of performers. A plurality of ticket requests from a plurality of computing devices are tracked at a server. Each ticket request includes an indicator representing at least one of the plurality of performers. A score is assigned to each of the plurality of performers based on the indicators associated with each performer across the plurality of ticket requests. A plurality of timeslots for the event are assigned to the plurality of performers according to the determined score for each of the plurality of performers.