Video Game Recommendation Engine

You are viewing a shared recommendations page. To get your own results, take the survey!

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Recommendations

Search Method: We provide two ways of finding games you may enjoy. With the “Gamer Neighborhood” method, we first find the 1,000 gamers most similar to your motivation profile and then identify the games they enjoy. This method tends to work better if you like a specific type of gameplay. With the “Game Distance” method, we find games most similar to the ones you enjoy. This method tends to work better if you like a broad variety of genres and gameplay.

Gamer Neighborhood Method Game Distance Method

No Recommendations Found

Unfortunately, this method only works if you provided specific game titles you have enjoyed when taking the survey.

No Recommendations Found

Unfortunately, we don't have sufficient data on the newer games you mentioned to make reliable recommendations based on them. As we continue to gather data from gamers, this page gets updated automatically. You can bookmark this page and come back to check at a later date.

Title		Buy

Niche vs. Popular: Games appear in the list only if their popularity exceeds a preset threshold. You can adjust this threshold and change the mix of recommendations with the options below.

Niche Games Balanced Popular Games

How We Generated These Recommendations

Starting with your Gamer Motivation Profile, we first identified the 1,000 most similar gamers in our data set. Then, we tabulated all their favorite games and adjusted these frequencies by each game’s baseline popularity. Thus, a QF score of 2 means that gamers most similar to this profile are twice as likely to list this game as a favorite compared to gamers in general.

Starting with the games you mentioned that you enjoy playing, we identified the games in our full catalog that are most similar in terms of their motivation profile (i.e., shortest distances from the games you enjoy). Thus, a shorter distance means a higher similarity to the games you enjoy.