Movie Recommender System with Flask Web App Deployment

This is a movie recommender system that is based on the following algorithm.

• Content Based Filtering
• Item-Based Collaborative Filtering with SVD
• Hybrid Recommender - (Content Based + SVD)

This movie recommender is built based on MovieLens Latest 100k Dataset.

The movie recommeder is then deploy on Flask Web App with RestAPI.

Files

• EDA.ipynb - Exploratory Data Analysis of the Dataset

• main.py - Main python file for feature engineering and running of Movie Recommender System

• recommender.py - Code for recommender system class

• app.py - Code for Flask App Deployment

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Ensure the correct environment is created

conda create --name <env>
conda activate <env>
pip install -r requirements.txt

Run Recommender

The recommender can be run by using the following command

python3 app.py

Future Improvements

• Build recommender with Tensorflow TFRS