Hands-On Recommendation Systems with Python

Building the recommender function

The final step is to create our recommender function. However, before we do that, let's create a reverse mapping of movie titles and their respective indices. In other words, let's create a pandas series with the index as the movie title and the value as the corresponding index in the main DataFrame:

#Construct a reverse mapping of indices and movie titles, and drop duplicate titles, if anyindices = pd.Series(df.index, index=df['title']).drop_duplicates()

We will perform the following steps in building the recommender function:

1. Declare the title of the movie as an argument.
2. Obtain the index of the movie from the indices reverse mapping.
3. Get the list of cosine similarity scores for that particular movie with ...