Most recommendation systems for video games either recommend the ‘most popular’ video games without considering your personal preferences, or they look at the games you’ve recently rated highly and simply recommend more of the same.
Gamium is different. Gamium uses the power of data science to match you up with similar GAMERS instead of similar games. Using that matchmaking algorithm, Gamium then attempts to predict what you would rate various video games, then suggests the top 10 (and bottom 5) games from that list.
Doing it this way is very computationally expensive, which is why most systems simply “recommend” the most popular games, or similar games. But we want to do it the right way.