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README.md

fuzzy-game-recommender

To run the project (for now):

pip install -r requirements.txt
python main.py

To run the project in presentation mode:

python main.py --pres

it will generate .json file which can be presented by running all cells of Fuzzy_presentation.ipynb

Random mode

python main.py --pres -r True

Evaluation mode

python main.py --pres --eval

generates result.json file with 10 random games and 10 recomendations for each game, results can be evaluated in Fuzzy_presentation.ipynb file, with Jaccard Similiarity

Processed dataset files are already provided, but can be created from the base games.csv file by running:

python process_dataset.py

If no GoogleNews-vectors-negative300.bin file is present, only games_processed.csv will be created.