A movie recommender system given by user data, movie data and social data. The data consists of 943 users and 1682 movies. Movie ratings are integer values from 1 to 5:
1 --> Hated it 5 --> Loved it
Data for this project has been made available from GroupLens Research in Department of Computer Science and Engineering at the University of Minnesota. The data can be found at <https://www.http://grouplens.org/datasets/movielens/>. Thank You GroupLens
A LONGER DESCRIPTION OF YOUR PROJECT GOES HERE... The type of recommendation we can add to our recommendation system
- personalized recommendation system
- based on popular items
- based on different features(comedy, action, ...). We may separate our each of those
This project has been set up using PyScaffold 2.2.1. For details and usage information on PyScaffold see http://pyscaffold.readthedocs.org/.