We use steam-200k.csv dataset as our primary dataset for collaborative filtering recommender system. 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. This dataset is generated entirely from public Steam data. This dataset is publicly available in kaggle.

https://www.kaggle.com/tamber/steam-video-games

We will use another dataset called steam_games.csv. This dataset contains more than 40k games from steam shop with detailed data. We plan to use this dataset after completing the first one.

https://www.kaggle.com/trolukovich/steam-games-complete-dataset/version/1