Movie Recommender System

Implementation of a movie recommender system using content based filtering and collaborative filtering together.

This project is done for the machine learning course, Shahid Beheshti University, Fall-2022.

Description:

• Feature Engineerings are done in the file Feature_Engineering.ipynb. This script cleans raw given dataFram and saves cleaned daraFram.
• Recommender_System.ipynb contains both content-based and collaborative filtering algorithms implementation.
• The final output of code comes from recommend() function. This function use both alorithms to calculate final results.

How to run:

1. You can download the dataset from here. Extract downloaded file and put IMDB directory next to the notebooks.
2. run Feature_Engineering.ipynb file.
3. run Recommender_System.ipynb file.