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.

• 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.

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.