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Eecs 441 presentation 1
1. Team Members: Ethan Aziz, Matt Hilpert, Justin Wallman
441fall2021 - Section 1
Our team, PlayPal, is developing a web app that helps gamers get
the most out of their current libraries while introducing them to
potential exciting additions across multiple platforms through
predictive analytics on user habits.
3. Gamers have a hard time finding what to play next
- You just finished a first-person shooter, or
- You’ve gotten really into role-playing games (RPGs)
- It’s difficult to find a new game that is both in line with your
interests and is a worthwhile purchase
4. We noticed you just finished playing Halo Infinite, here are some other titles you may enjoy:
Call of Duty: Vanguard Battlefield 2042 Overwatch Rainbow Six Siege
We think you may like these titles based on your interest in RPGs:
The Witcher 3 Mass Effect 2 Skyrim Bloodborne
5. Gotchas
❖ Retrieving and aggregating data from multiple sources, e.g. Nintendo,
Sony, Microsoft, Steam
❖ Choosing predictive analytics methods that will be most effective for
game recommendations
❖ Determining which data will be used in the feature space for our
selected predictive analytics methods
8. Our team, PlayPal, is developing a web app that
helps gamers get the most out of their current
libraries while introducing them to potential
exciting additions across multiple platforms
through predictive analytics on user habits.