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  3. Building Recommendation Engines in Python

Exercise

Similar and different movie ratings

Some types of movies might be liked by one group of people, but hated by another. This might reflect the type of movie far more than its quality. Take, for example, horror movies — many people absolutely love them, while others hate them.

By understanding which movies were reviewed in a similar way, we can often find very similar movies.

In this exercise, you will compare movies and see whether they have received similar reviewing patterns.

The DataFrame movie_ratings_centered has been loaded with a row per movie, and the centered ratings it received as the values.

Instructions 1/2

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  • 1
    • Assign the values for Star Wars: Episode IV and Star Wars: Episode V to sw_IV and sw_V.
    • Find their cosine similarity.
  • 2
    • Find the cosine similarity between the ratings for Jurassic Park (jurassic_park) and Pulp Fiction (pulp_fiction).