“# movie-recommender-app” # 🎥 Movie Recommender System

A simple yet effective Movie Recommendation System built using Collaborative Filtering (User-User similarity) with the classic MovieLens dataset.

✨ Features

• Recommends movies for a target user based on similar users’ ratings
• Supports Euclidean distance as similarity metric
• Command-line interface for easy testing
• Clean and modular Python code

📁 Project Structure

movie-recommender-app/ ├── collaborative_filtering.py # Main script with CLI ├── movie_recommender.py # Core recommendation logic ├── similarity_scores.py # Similarity calculation ├── u.data # MovieLens ratings data ├── u.item # Movie information ├── README.md └── pycache/ # Python cache (ignored)

python collaborative_filtering.py –user1 196 –user2 481 –score-type Euclidean

🎬 Movie Recommender System

A Collaborative Filtering based movie recommendation system built with Python using the MovieLens dataset.

✨ Features

• User-based Collaborative Filtering
• Euclidean Distance similarity metric
• Command Line Interface (CLI)
• Recommends movies based on similar users’ preferences
• Clean, modular, and well-documented code

📁 Project Structure

movie-recommender-app/ ├── collaborative_filtering.py # Main CLI entry point ├── movie_recommender.py # Core recommendation logic ├── similarity_scores.py # Similarity calculations ├── u.data # User ratings (MovieLens 100K) ├── u.item # Movie metadata ├── README.md └── pycache

python collaborative_filtering.py –user1 196 –user2 481 –score-type Euclidean