زهره العجمي

Abstract This project implements a Movie Recommendation System using demographic filtering, content-based filtering, an‎d collaborative filtering. The system leverages public datasets from Kaggle an‎d applies techniques such as TFIDF, cosine similarity, an‎d Singular Value Decomposition(SVD) to generate recommendations. The eva‎luation demonstrates the strengths an‎d weaknesses of each approach, highlighting the potential of hybrid methods