Collaborative Filtering – Netflix movie reviews
Description
This project consists of a collaborative filtering algorithm to predict movie reviews ratings from a dataset of Netflix ratings.
Data
The dataset corresponds to a subset of the original movie ratings data from the Netflix Prize Each row in the txt represents an observation with three fields: Movie ID, Customer ID, Rating.
Methods
The similarity measure used is Pearson coefficient. Given users i and j, let Ii be the set of movies that user i has rated 
where 
is the average rating for user i
Let Rik be the rating of user i on movie k, the prediction is generated according to the following formula 
Instructions
To run the code and build the predictions, simply type in the terminal
python cf.py --train data/training.txt --test data/testing.txt
References
- Yannet Interian – Advance Machine Learning – Course notes
- Jure Leskovec, Anand Rajaraman and Jeffrey D. Ullman – Mining of Massive Datasets
