Collaborative Filtering Recommender System

This project has implemented model-based CF (both user-user and item-item) and memory-based CF to predict ratings. The model-based CF makes use of SVD and the memory-based CF uses cosine similarity to learn which users and items are similar to eachother.

The dataset used in this project is the 100kmovielens dataset which can be downloaded from here.