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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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Building an IMDB Top 250 Clone with Pandas

The Internet Movie Database (IMDB) maintains a chart called the IMDB Top 250, which is a ranking of the top 250 movies according to a certain scoring metric. All the movies in this list are non-documentary, theatrical releases with a runtime of at least 45 minutes and over 250,000 ratings:

This chart can be considered the simplest of recommenders. It doesn't take into consideration the tastes of a particular user, nor does it try to deduce similarities between different movies. It simply calculates a score for every movie based on a predefined metric and outputs a sorted list of movies based on that score.

In this chapter, we will be covering the following:

  • Building a clone of the IMDB Top 250 chart (henceforth referred to as the simple recommender).
  • Taking the functionalities of the chart one step further and building a knowledge...
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