Content-Based Movie Recommendation System

This project builds a Content-Based Movie Recommendation System using the MovieLens dataset.

It recommends movies to a user based on the genres of movies they’ve rated highly in the past.

Unlike collaborative filtering (which relies on other users’ preferences), this system learns your personal taste from the content of the movies themselves.

Requirements

pip install pandas numpy matplotlib

How to Run

Clone or download this repository.

Open the notebook and run the cells in order.

Advantages

Learns user preferences directly from their rated movies

Produces personalized recommendations

Works even without data from other users

Limitations

Doesn’t consider what other users like or dislike

Only works for movies with available genre information

Doesn’t capture nuanced aspects like plot or acting