Recommendation engine for Steam games based on data collected from Steam Web API. Please see the attached report for complete details of the project

Userid-playtime data is collected from the Steam Web API. Since Steam does not maintain explicit ratings for games, we derive our ratings based on playtime. The data can be found at - https://drive.google.com/drive/folders/1ESRLG9heVA5K4e0wYchkdi8KpqKOmh_b?usp=sharing

Two classes of models were developed:

• Binary Ratings (Recommendations based on whether user bought the game or not)
• Continuous Ratings (Recommendations based on continuous ratings on the [0,1] scale)

Pleaes refer to the notebooks CollaborativeFiltering.ipynb and Implicit Matrix Factorization.ipynb for Binary Ratings based models.

Pleaes refer to the notebook ContinousRatingSurprise.ipynb for continous model. This has been implemented using the surprise library.