Movie-Recommendation-System
Name | Link |
---|---|
Akshat Khanna | My GitHub link |
Fayaz Maknojia | GitHub link |
Harshit Sharma | GitHub link |
A Recommender System or a Recommendation System is a subclass of information filtering system that seeks to predict the “rating” or “preference” a user would give to an item.
Recommender systems are utilized in a variety of areas including movies, music, news, books, research articles, search queries, social tags, and products in general.
https://grouplens.org/datasets/movielens/latest/
Total Movies --> 193886
Total Movie with user Rating --> 21827
Total users --> 10532
Total User Ratings --> 1048575
1. Pearson Correlation.
2. Cosine similarity
$ virtualenv MRS
$ source MRS/bin/activate
$ pip3 install -r requirements.txt
$ python3 Recommender Systems.py