Table of Contents

• About the Project
  • Built With
• Getting Started
  • Installation
• Contributing
• Contact

About The Project

Movie Recommender System is a recommender system built by hybridization of 2 recommender techniques: Content-Based Filtering and Collaborative Filtering using pipeline hybridization. Datasets provided are datasets from MovieLens that can also be found here.

Built With

• Python

Getting Started

You can run either the python notebook file "Movie Recommender System.ipynb" or "Movie Recommender System.py"

Dataset

There are 3 datasets: ratings.csv, tags.csv, and movies.csv from MovieLens dataset.

Installation

1. Clone the repo

git clone https://github.com/angelamarpaung99/movie_recommender_system.git

2. Enter your own location path of dataset in Movie Recommender System.ipynb or Movie Recommender System.py in this lines of code

drivePrefix = '<Change to desired path>'
driveSuffix = '<Change to desired path>'

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b <add-your-new-branch-name>)
3. Commit your Changes (git commit -m 'commit message')
4. Push to the Branch (git push origin <add-your-branch-name>)
5. Open a Pull Request

Contact

Angela Marpaung - angelamarpaung99@gmail.com

Project Link: https://github.com/angelamarpaung99/movie_recommender_system.git