Explore how Pareto Presents works with sample data from an 8-person gift exchange. No login required - see the algorithms in action!
Demo Group: "5C P-ai Holiday Exchange"
The Pareto Presents team with their unique gift preferences:
Samuel
Milkis, backend APIs, project management
Liam
monkey antiques, frontend dev, simulations
Justin
crochet, algorithms, optimization
Charlotte
pottery, art, UI design
Cole
clothes, fashion, results pages
Stefanie
tech gadgets, fairness algorithms, dashboards
Joanna
concert tickets, live music, simulations
Sam
board games, video games, web design
Algorithm Comparison
Here's how different algorithms perform on this group's preferences:
| Algorithm | Avg Utility | Min Utility | Max Utility | Fairness |
|---|---|---|---|---|
| Random Matching | 5.23 | 2.10 | 8.40 | 4.12 |
| Max Utility (Hungarian) | 7.89 | 5.80 | 9.20 | 1.29 |
| Max Fairness | 7.12 | 6.90 | 7.35 | 0.21 |
| White Elephant SimulationExpected happiness: 6.8 | 6.45 | 3.20 | 9.10 | 2.87 |
Understanding the Metrics
- Avg Utility: Higher is better - overall match quality across all participants
- Min Utility: Higher is better - ensures no one gets a terrible match
- Max Utility: The best individual match score achieved
- Fairness Score: Lower is better - measures equality of happiness distribution
Secret Santa Pairings
Using Max Utility (Hungarian) algorithm - optimizes for best overall matches
Group Average: 8.15 utility score | Fairness: 1.29 (excellent equality)
Ready to try it with your group?
Create a group, invite your friends, and let our algorithms find the perfect matches for your gift exchange!