# 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.