This project consists of a collaborative filtering algorithm to predict movie reviews ratings from a dataset of Netflix ratings.

Related tags

AlgorithmsCollaborative-Filtering-Netflix
Overview

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
Owner
Shashank Kumar
“Always code as if the guy who ends up maintaining your code will be a violent psychopath who knows where you live”
Shashank Kumar
GitHub Repository
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