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Hands-On Recommendation Systems with Python

You're reading from   Hands-On Recommendation Systems with Python Start building powerful and personalized, recommendation engines with Python

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788993753
Length 146 pages
Edition 1st Edition
Languages
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Author (1):
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Rounak Banik Rounak Banik
Author Profile Icon Rounak Banik
Rounak Banik
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Toc

Metadata-based recommender

We will largely follow the same steps as the plot description-based recommender to build our metadata-based model. The main difference, of course, is in the type of data we use to build the model.

Preparing the data

To build this model, we will be using the following metdata:

  • The genre of the movie.
  • The director of the movie. This person is part of the crew.
  • The movie's three major stars. They are part of the cast.
  • Sub-genres or keywords.

With the exception of genres, our DataFrames (both original and cleaned) do not contain the data that we require. Therefore, for this exercise, we will need to download two additional files: credits.csv, which contains information on the cast and crew...

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