Hands-On Recommendation Systems with Python

The build_chart function

We are finally in a position to write the function that will act as our recommender. We cannot use our computed values of m and C from earlier, as we will not be considering every movie just the ones that qualify. In other words, these are three main steps:

1. Get user input on their preferences
2. Extract all movies that match the conditions set by the user
3. Calculate the values of m and C for only these movies and proceed to build the chart as in the previous section

Therefore, the build_chart function will accept only two inputs: our gen_df DataFrame and the percentile used to calculate the value of m. By default, let's set this to 80%, or 0.8:

def build_chart(gen_df, percentile=0.8):    #Ask for preferred genres print("Input ...