*** For those just interested in the code and running it, you can find it off my github here: https://github.com/ScottBurger/steam_augury I’ve been interested in recommendation systems for a while and I thought I’d try my hand at a new implementation in Python. My previous version, built in R, leveraged lots of data pulled from… Continue reading Recommendation Systems with Python: steam_augury
I had the fantastic opportunity to give a talk about the history of chess computation before a showing of the indie film Computer Chess. This was done in collaboration with Science on Screen, a series that hosts lectures related to a topic before a science-themed movie. For those interested, the slides from the talk can be… Continue reading How About a Nice Game of Chess?
Every so often I’m at a loss to suggest what game I should recommend me and all my friends get together and play. Sometimes I’m at a loss for what game even I should be playing. After ruminating and playing around with some modelling scenarios, I think I may have designed a pretty decent game recommendation system… Continue reading Steam Games and Recommendation Systems
It’s often hard to figure out ways to review a product. How do we determine if it’s worth our time and focus? How do we assess what other people think about that product? In the case of the gaming sector: is it good enough to warrant me playing it? In 2015 I gave a talk… Continue reading Sentiment Mining of Steam User Reviews
Min/Maxing Optimization is the family of problems by which we want to find the maximum or minimum of something. Pretty simple when taken at face value. A lot of times optimization problems focus on finding a part of a curve or a plot that has a global maximum or minimum. This can be done with… Continue reading Pythagorean Rank Optimization