A project for COMP 541 that mines data from a gaming dataset to recommend videogames to players based on reviews and their preferences with content-based filtering and collaborative-based filtering using data mining techniques and algorithms
The dataset is sourced from Kaggle here.
The games.csv
, users.csv
, recommendations.csv
, and games_metadata.json
are not committed to this repository but
if you want to run the program, you can download them from the link and place them in the 'dataset/' folder. The dataset
should be updated monthly according to the page.