Machine Learning-Powered Steam Recommendations Now Live

Steam's latest feature will recommend you games not only based on what you've played, but on what other people will similar taste have played.

Comments

Steam has added a new tool today for recommending games to users. Steam Interactive Recommender uses machine learning to predict which games you'll enjoy based on what other people with similar taste have played.

The Interactive Recommender started as a tool within Steam Labs back in July 2019, but has now become a proper feature of the store.

The announcement digs into how all of this works. You can interact with the recommender by specifying that you want popular or niche games, or whether you want older or newer titles, and it'll give you a list of titles based on other Steam users' playtime histories.

Tags and reviews are not taken into account, and it's based purely on what people are actually playing. "The basic idea is that if there are other players with similar play habits to you, who also play a game that you haven't tried yet, then that game is likely to be one you'll enjoy too," the announcement reads.

Judging on my own taste, it seems very accurate--it recommended me several games that I have played and enjoyed on consoles.

The Interactive Recommender isn't replacing any of Steam's other recommendation methods, but will exist alongside them.

If you're looking for more recommendations for new things to play, check out our list of games to play while you're stuck inside.

Please use a html5 video capable browser to watch videos.
This video has an invalid file format.
00:00:00
Sorry, but you can't access this content!
Please enter your date of birth to view this video

By clicking 'enter', you agree to GameSpot's
Terms of Use and Privacy Policy

Now Playing: The Biggest Games To Play In 2020 And Beyond

Got a news tip or want to contact us directly? Email news@gamespot.com

Join the conversation
There are no comments about this story