GitHub - rishav-csenitjsr/movie_recommender: Movie Recommender System using Collaborative filtering

Movie Recommender System based on the MovieLens 100K dataset

A simple movie recommender system. Made a simple UI that just recommends a genre, for now.

Used:

KMeans: to cluster similar movies together.
Pearson Correlation Similarity Measure: to measure similarity between two users.

Currently getting a Mean Squared Error of 1.23 on the test set.

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
__pycache__		__pycache__
data		data
LICENSE		LICENSE
README.md		README.md
UI.py		UI.py
Untitled.ipynb		Untitled.ipynb
Untitled1.ipynb		Untitled1.ipynb
Untitled2.ipynb		Untitled2.ipynb
Untitled3.ipynb		Untitled3.ipynb
Untitled4.ipynb		Untitled4.ipynb
Untitled5.ipynb		Untitled5.ipynb
criminal.ipynb		criminal.ipynb
fpre.ipynb		fpre.ipynb
movielens.py		movielens.py
movielens.pyc		movielens.pyc
recommender.py		recommender.py
test.csv		test.csv
test.txt		test.txt
titanic.ipynb		titanic.ipynb
train.csv		train.csv
utility_matrix.pkl		utility_matrix.pkl