Python Machine Learning Cookbook

Generating movie recommendations

Now that we built all of the different parts of a recommendation engine, we are ready to generate movie recommendations. We will use all the functionality that we built in the previous recipes to build a movie recommendation engine. Let's see how to build it.

How to do it…

1. Create a new Python file, and import the following packages:

   import json
   import numpy as np
   
   from euclidean_score import euclidean_score
   from pearson_score import pearson_score
   from find_similar_users import find_similar_users

2. We will define a function to generate movie recommendations for a given user. The first step is to check whether the user exists in the dataset:

   # Generate recommendations for a given user def generate_recommendations(dataset, ...