https://github.com/waasiq/movie-recommender

Movie Recommendation System based on Cosine Similarity
https://github.com/waasiq/movie-recommender

data-science python3 recommender-system streamlit

Last synced: about 4 hours ago
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Movie Recommendation System based on Cosine Similarity

• Host: GitHub
• URL: https://github.com/waasiq/movie-recommender
• Owner: waasiq
• License: mit
• Created: 2022-11-02T14:09:18.000Z (about 2 years ago)
• Default Branch: main
• Last Pushed: 2023-06-23T16:45:27.000Z (over 1 year ago)
• Last Synced: 2024-05-02T06:00:06.944Z (7 months ago)
• Topics: data-science, python3, recommender-system, streamlit
• Language: Python
• Homepage: https://movie-recommendor.streamlit.app/
• Size: 9.17 MB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 🎥 Movie Recommendation System 



## 📝 About

This project is a movie recommendation system that uses the [TMDB 5000 Movie](https://www.kaggle.com/datasets/tmdb/tmdb-movie-metadata) dataset. The dataset contains information about 5000 movies, including user ratings, budget, revenue, and genres. The recommendation system uses the cosine similarity to find the similarity between movies based on their genres, keywords, cast, and crew. The system then recommends the top 5 most similar movies to the user.

## ⚙️ Technologies Used

- Python

- Streamlit

## 🔍 Features

- Recommends movies based on user input.

## 🔨 Installation

### Clone

Clone this repository to your local machine

```

$ git clone

```

```

$ cd movie-recommendation-system

```

```

$ pip install -r requirements.txt

```

### Usage

```

$ streamlit run app.py

```

## 📜 License

[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)