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This project implements a content-based movie recommendation system using Python. It preprocesses movie metadata such as genres, keywords, cast, and crew, applies text processing techniques like stemming, and computes similarity between movies based on their content. Users can input a movie title and receive recommendations of similar movies.

  • Updated Jul 12, 2024
  • Jupyter Notebook

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