Tutorial Streaming Recommender System

Overview

This project implements a recommendation system for a tutorial video streaming platform. The platform uses user watch history data and detailed video metadata to generate recommendations using text preprocessing, TF-IDF vectorization, and cosine similarity.

Usage

1. Clone this repository to your local machine:

git clone https://github.com/titoausten/tutorial-streaming-recommender-system.git

2. Install requirements:

pip install -r requirements.txt

3. Run script:

python recommend.py

License

This project is licensed under the MIT License. See the LICENSE file for more details.