Video Game Recommendation Engine – This is how we do it
These are data science panels and we started off this panel with a video game recommendation engine. I had Stephen fill out a survey prior to the panel and from his results I built a recommendation model, with the goal of selecting games he has not played (he’s played a lot of games, so not an easy task) and would rate above average.
How are we going to build this recommendation? Through Propensity scoring!
A propensity score is an estimated probability that a data point might have the predicted outcome.
- One of our panelists completed a survey and had to rank video games they have played
- Their responses were linked to our ancillary data (critics score, user score, and genres)
- Our model shot out a score between 0 and 1. The closer to 1 the more likely this game would be enjoyed by the panelist.
Video Game Recommendation Engine – The Output
For this panelist, the survey told us this about their gaming preferences:
The value User Score more than the Critics Score.
Their preferred genre is Action Adventure.
Their preferred platform is the PS2.
Video Game Debate: Overview
On the screen will be a video game, with some profiling data.
Panelist will debate the impact, perceived and replay value of the featured game.
Crowd will decide who made the better argument.
This is the meat of the panel., on the screen is also the IGN review headline and rating, Stephen and myself would take turns and argue if it deserved it’s ranking.
Stephen went first and argued that Goldeneye does not deserve this high of rating and his key point was on the replay value. I attempted to argue on to value it at time of release. The crowd sided with Stephen.
Pokémon Gold & Silver
I went first this round and argued for the rating, this was a very pro Pokémon crowd. Stephen brought up good points on where he thinks the series should go and adding another region is not the answer. The crowd sided with Me.
Ultimate Marvel vs. Capcom 3
Stephen chose to argue for this game, I wanted to throw a curve-ball in this debate. It would have been very obvious if we chose Marvel vs Capcom 2, too easy. I argued that it wasn’t even the best in the series, and the best in the series is actually X-men vs Street fighter.
Halo Combat Evolved
Stephen was on team Halo for this one, I love Halo as well, but the crowd did not. That was a shock to us but maybe Halo doesn’t have replay value? Or everyone is getting tired with the series.
Battle Dome: Overview
Two games go in… only one comes out
Panelists will argue for a game, they cannot both argue for the same game
The crowd decides who had the best argument
This was fun and challenging section of our panel. I won’t go into details on this section but I do want to try something out. As test to see who is interacting with my page by reading the data stories, I have a special giveaway.
Here are the rules, you must have an Instagram account. You must be following my Instagram account: @pancake_analytics.
To enter you need read through the battle dome section, screen shot your favorite match-up and post it to instagram.
In this post I want you tag @pancake_analytics and caption the post with “Who do you have in this Battle Dome match-up?”.
This giveaway will end on December 31st, 2019 and the winner will receive a Game-stop Gift card from me. For to use on your next video game purchase in the new year!
Here’s the disclaimer I have to post:
Per Instagram rules, we must mention this is in no way sponsored, administered, or associated with Instagram, Inc. By entering, entrants confirm they are 13+ years of age, release Instagram of responsibility, and agree to Instagram’s term of use. Good luck!!!!!
Here’s the battle dome match-ups:
I want to personally thank everyone who attended the panel in Tampa, at the Tampa Comic Convention. I look forward to meeting again in 2020.
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