NDHU_Recommender_System_2023

NDHU_Recommender_System_2023 project belongs to the Recommender System at National Dong Hwa University. The purpose of this project is to use MovieLens 100K Dataset dataset to inspect and verify content based algorithms and collaborative filtering performance

Contents

• Getting_Started
  • Requirements
  • Installation
• Directory Structure
• Deployment
• Frameworks Used
• Author

Getting Started

Requirements

1. Python 3.9 +
2. Ubuntu 22.04

Installation

1. Clone the repo and enter repo folder

git clone https://github.com/appleiphonedddd/NDHU_Recommender_System_2023.git
cd NDHU_Recommender_System_2023

2. Install Python package

pip install -r requirements.txt

Directory Structure

filetree 
├── Collaborative_filtering.ipynb
├── Context_based.ipynb
├── README.md
└── requirements.txt

Deployment

1. Execute .ipynb on vscode or Jupyter

Frameworks Used

• Pandas
• NumPy
• Scikit-surprise
• MovieLens 100K Dataset

Author

[email protected]

Name:Egor Lee