Academic Article Recommendation System

Project Description

This project aims to develop a system that provides personalized article recommendations to users based on their interests and reading histories.

Technologies Used

• Python
• NLTK
• FastText
• MongoDB
• Web Technologies (HTML, CSS, JavaScript)

Installation Instructions

1. Clone the project to your local machine: git clone [https://github.com/lupsi12/yazlab3_python.git]
2. Install the required Python libraries: pip install
3. Set up and configure MongoDB database.
4. Modify and configure project files.
5. Run your web server and view the project in your browser.