/MovieRecSys

A Movie recommendation system based on collaborative and popularity filtering. Used cosine vectors of each movie for comparision.

Primary LanguageJupyter Notebook

Movie Recommendation System

Requirements

Before you begin, ensure you have the following installed:

  • Python (>= 3.6)
  • pip (Python package manager)

Installation

  1. Clone this repository to your local machine:
    git clone https://github.com/your_username/your_streamlit_app.git
    
  2. Install the required dependencies using pip:
    pip install -r requirements.txt
    
  3. Running the App once you have installed the dependencies, you can run the Streamlit app by executing the following command in your terminal:
    streamlit run app.py

This will start a local server and launch the Streamlit app in your default web browser.

Development

If you wish to make modifications to the app or add new features, you can edit the app.py file located in the project directory. Streamlit provides a simple and intuitive way to create data-driven web apps using Python. Refer to the Streamlit documentation for more information on how to develop Streamlit apps.