Movie Recommendation System

Overview

A collaborative filtering recommendation engine built using the MovieLens dataset, supporting personalized, mood-based, and genre-based recommendations.

Methods

• Movie & user effect models
• Regularized collaborative filtering
• Matrix factorization (SVD)
• RMSE-based evaluation

Results

• Regularized model achieved strong predictive performance
• Latent factor analysis revealed meaningful user preferences

How to Run

source("movie_recommender.R")