Movie recommendations web app

This project provides a simple movie recommendation web app using Python and Flask.

Overview

The recommendation system is built using natural language processing techniques to analyse movie plots and recommend similar movies based on cosine similarity. The project consists of two main files:

• build-data.py: Script to preprocess movie data, compute similarity scores, and save the processed data for the website.

• show-movies.py: Flask web app that allows users to explore a random selection of movies or receive recommendations based on a selected movie.

Installation

git clone https://github.com/exactful/movie-recommendations-app.git
cd movie-recommendations-app
python3 -m venv venv
source venv/bin/activate
pip3 install -r requirements.txt

Usage

1. Generate web app data, first time only

This script processes the movie data, computes the cosine similarity scores and saves the processed data.

Generates two files: the movie data (movies.csv) and the similarity data (similarities.csv).

python3 build-data.py

2. Run the web app

This Flask app allows users to explore a random selection of movies or receive recommendations based on a selected movie.

Go to http://localhost:5000/ in your browser after running this command.

python3 show-movies.py

Dependencies

• Python 3
• Flask
• NumPy
• Pandas
• scikit-learn

Configuration

File paths can be adjusted in the config.py file.