Movie Recommender System

This project provides a recommender system using Collaborative Filtering via Cosine Similarity

Getting Started

The goals of this project are:

Test various Machine Learning approaches for suitability for use as a recommender
Implement user derived Collaboritive Filtering to predict users’ ratings on movies using all users.
Implement item derived Collaboritive Filtering to predict users’ ratings on movies using all items.
Predict the k most similar movies and users according to each movie and user.
Improve the user derived approach using only top-K most similar user ratings.
Prove that Collaboritive Filtering is a simple but effectice means of for recommending in a memory-based context.
Show that using top-K users vs overall is more accurate.

$ python3 recommender.py

And

$ python3 proj.py

recommender.py written with:

proj.py written with:

This project is licensed under the GPL-3.0 License - see the LICENSE.md file for details