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Mikołaj Krzymiński 8c80734dda Merge pull request 'compare_to_all_games' (#1 ) from compare_to_all_games into master Reviewed-on: s449288/fuzzy-game-recommender#1		2023-02-03 00:42:21 +01:00
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Fuzzy_presentation.ipynb	add evaluation and baseline	2023-02-03 00:41:05 +01:00
README.md	add evaluation and baseline	2023-02-03 00:40:25 +01:00
fuzzy_controllers.py	change OR to AND	2023-02-01 16:15:56 +01:00
main.py	add evaluation and baseline	2023-02-03 00:40:25 +01:00
process_dataset.py	add functionality to compare a game to the whole db	2023-01-29 14:00:16 +01:00
requirements.txt	Removed prints, new datasets, multiprocessing	2023-01-29 17:25:12 +01:00

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.