Movie Recommendation System

This project is a movie recommendation system that consists of two main components: a Python part for data preprocessing, model training, and recommendation generation, and a Go part that provides an API for fetching recommendations.

Table of Contents

• Overview
• Structure
• Setup
• Usage
• License

Overview

The movie recommendation system uses collaborative filtering to generate movie recommendations for users. The system is divided into two parts:

1. Python Part: Handles data preprocessing, model training, recommendation generation, and evaluation.
2. Go Part: Provides a REST API to fetch recommendations for users.

Structure

recSystem/
│
├── python/
│   ├── Dockerfile
│   ├── requirements.txt
│   ├── preprocess.py
│   ├── main.py
│   ├── database.py
│   ├── similarity.py
│   ├── recommendations.py
│   ├── README.md
│   └── tests/
│       ├── test_database.py
│       ├── test_integration.py
│       ├── test_preprocess.py
│       ├── test_recommendations.py
│       └── testt_similarity.py
├── go/
│   ├── Dockerfile
│   ├── go.mod
│   ├── go.sum
│   ├── main.go
│   ├── handlers.go
│   ├── handlers_test.go
│   └── README.md
│
└── data/
    ├── movies.csv
    ├── ratings.csv
    ├── train_ratings.csv
    ├── test_ratings.csv
    └── recommendations.db

Setup

Prerequisites

• Docker
• Python 3.x
• Go 1.18 or higher

Python Part

1. Navigate to the Python directory:

cd python

2. Install the required Python packages:

pip install -r requirements.txt

3. Run the preprocessing script:

python preprocess.py

4. Run the main script to train the model and generate recommendations:

python main.py

Go Part

1. Navigate to the Go directory:

cd go

2. Build the Docker image:

docker build -t recommendations-api .

3. Run the Docker container:

docker run -p 8080:8080 recommendations-api

Usage

Fetch Recommendations

You can fetch movie recommendations for a user by sending a GET request to the API.

Example:

curl http://localhost:8080/recommendations/1/5

License

This project is licensed under the MIT License.