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Content-Based-Recommendation-System

Content Based Filtering

  • They suggest similar items based on a particular item.
  • This system uses item metadata, such as genre, director, description, actors, etc. for movies, to make these recommendations.
  • The general idea behind these recommender systems is that if a person liked a particular item, he or she will also like an item that is similar to it.
  • Recommendation based on similarity of movie description will be used in this model.

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A Content-Based Movie Recommender System using Python

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