Python Machine Learning Cookbook - Second Edition

How to do it...

Let's take a look at how to generate movie recommendations:

1. Create a new Python file and import the following packages (the full code is in the movie_recommendations.py file that's already provided for you):

import json 
import numpy as np 
 
from pearson_score import pearson_score 

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, user): 
    if user not in dataset: 
        raise TypeError('User ' + user + ' not present in the dataset') 

3. Let's now compute the Pearson score of this user with all the other users in the dataset:

 total_scores = {} similarity_sums ...