Movie-Recommendation-System

Course Project for AI 705 Recommendation Systems. We worked on the 1M MovieLens dataset to recommend movies to users, by using various methods like Collaborative Filtering, K-Means, SVD

Notebooks

• final-collaborative has the code for User-User and Item-Item based collaborative filtering.
• kmeans_svd has the code for Kmeans++ and Reduced SVD Implementation

More about the project can be found in the presentation slide deck.

Instructions to Run

• Import the MovieLens 1M dataset on whatever platform you're using and change the path names to load the data accordingly.
• Code to add a new user is provided.
• Enter the user id you want to predict movies for and run the notebook.