This Multi-Modal Movie Recommendation System leverages a combination of structured numerical features and deep text embeddings to provide accurate and personalized movie recommendations. Unlike traditional recommender systems that rely solely on user ratings or metadata, this model integrates numerical attributes (such as popularity and ratings)
deep-neural-networks ai machine-learning-algorithms python3 cosine-similarity gradio imdb-dataset autoencoder-neural-network standardscaler all-minilm-l6-v2 movie-recomendation-system embedding-cache
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Updated
Apr 13, 2025 - Jupyter Notebook