Movie Recommender System A content-based movie recommender using TMDB's top 10K movies dataset. Combines movie descriptions and user watch history to suggest similar films.
watchHistory = ['Your Name.', 'Spirited Away']
recommend('Iron Man', watchHistory)
Uses movie descriptions and genres for recommendations Weights: 40% content similarity, 60% genre preference
Returns top 15 similar movies
Data Required
CSV file with columns: id, title, overview, genre
Note: Built for Google Colab. Data path: '/content/drive/MyDrive/Colab Notebooks/top10K-TMDB-movies.csv'