GitHub - csvhd/Recommender-Systems: NumPy implementation of Collabarative Filtering, SVD and CUR Recommender Systems

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NumPy implementation of Collabarative Filtering, SVD and CUR Recommender Systems

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
ml-1m		ml-1m
Design Document		Design Document
README		README
collab_documentation.txt		collab_documentation.txt
collab_global.py		collab_global.py
collab_global_documentation.txt		collab_global_documentation.txt
collab_movie.py		collab_movie.py
collab_user.py		collab_user.py
cur.py		cur.py
cur_90.py		cur_90.py
cur_90_documentation.txt		cur_90_documentation.txt
cur_documentation.txt		cur_documentation.txt
svd_90.py		svd_90.py
svd_90_documentation.txt		svd_90_documentation.txt
svd_new.py		svd_new.py
svd_new_documentation.txt		svd_new_documentation.txt

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Libraries needed :

PANDAS - for csv file parsing
NUMPY - for all the mathematical calculations
RANDOM - in CUR for the random with probabillity distribution 

Steps for running the code :

Change the path to ratings.dat in the python code, wherever you have saved the ml-1m folder(preferably in the same folder) and run the python script for each method