Movie-Recommender-using-CF

User-Based Collaborative Filtering method for Movie Recommendations

Data Set : MovieLens 100K Dataset

These files contain 1,000,209 anonymous ratings of approximately 3,900 movies made by 6,040 MovieLens users who joined MovieLens in 2000.

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
data		data
movies		movies
recomender		recomender
static		static
README.md		README.md
add_data.py		add_data.py
add_ratings.py		add_ratings.py
add_users.py		add_users.py
db.sqlite3		db.sqlite3
enter_people.py		enter_people.py
manage.py		manage.py
recom.py		recom.py