Context

Steam is the world's most popular PC Gaming hub, with over 6,000 games and a community of millions of gamers. With a massive collection that includes everything from AAA blockbusters to small indie titles, great discovery tools are a highly valuable asset for Steam. How can we make them better?

Content

This dataset is a list of user behaviors, with columns: user-id, game-title, behavior-name, value. The behaviors included are 'purchase' and 'play'. The value indicates the degree to which the behavior was performed - in the case of 'purchase' the value is always 1, and in the case of 'play' the value represents the number of hours the user has played the game.

Acknowledgements

This dataset is generated entirely from public Steam data, so we want to thank Steam for building such an awesome platform and community!

Inspiration

The dataset is formatted to be compatible with Tamber. Build a Tamber engine and take it for a spin!

Combine our collaborative filter's results with your favorite Machine Learning techniques with Ensemble Learning, or make Tamber do battle with something else you've built.

Have fun,
The Tamber Team

Tables

Steam 200k

@kaggle.tamber_steam_video_games.steam_200k

727.93 KB
199999 rows
5 columns


CREATE TABLE steam_200k (
  "n_151603712" BIGINT,
  "the_elder_scrolls_v_skyrim" VARCHAR,
  "purchase" VARCHAR,
  "n_1_0" DOUBLE,
  "n_0" BIGINT
);